Address: Kita 14, Nishi 9, Kita-ku, Sapporo, Hokkaido, Japan (Zip-code 060-0814)
E-mail: k-kobaya_at_ssi.ist.hokudai.ac.jp (Please replace _at_ to @)
Koichi Kobayashi was born in Tokyo, Japan, in 1975.
He received the B.E. and M.E. degrees in engineering from Hosei University, Japan in 1998 and 2000, respectively.
He received the D.E. degree in engineering from Tokyo Institute of Technology, Japan in 2007.
From 2000 to 2004, he was a member of Nippon Steel Corporation.
From 2007 to 2015, he was an Assistant Professor at the School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Japan.
From 2015 to 2019, he was an Associate Professor at the Graduate School of Information Science and Technology, Hokkaido University, Japan.
From 2019 to 2022, he was an Associate Professor at the Faculty of Information Science and Technology, Hokkaido University, Japan.
Since 2023, he has been a Professor at the Faculty of Information Science and Technology, Hokkaido University, Japan.
His research interests include discrete event and hybrid systems.
He is a member of IEEE, IEEJ, IEICE, ISCIE, and SICE.
He received the following academic awards:
Young Author Award, the Society of Instrument and Control Engineers (SICE) in 2007,
Best Paper Award, the Institute of Systems, Control and Information Engineers (ISCIE) in 2007,
Best Paper Award and Takeda Award, the Society of Instrument and Control Engineers (SICE) in 2007,
Outstanding Reviewer for 2010-2011, Automatica, the International Federation of Automatic Control (IFAC),
2014 Outstanding Reviewer, IEEE Transactions on Automatic Control,
Pioneer Award of Control Devision, SICE in 2015,
Best Paper Award, the Institute of Electronics, Information and Communication Engineers (IEICE) in 2017.
[88]
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Keita Terashima, Koichi Kobayashi, and Yuh Yamashita:
On Reward Distribution in Reinforcement Learning of Multi-Agent Surveillance Systems with Temporal Logic Specifications,
Advanced Robotics, Vol. XX, No. XX, pp. XXX-XXX (2024) (Accepted)
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[87]
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Fuma Motoyama, Koichi Kobayashi, and Yuh Yamashita:
A BDD-Based Approach to Model Reduction of Boolean Networks,
IEEE Transactions on Control of Network Systems, Vol. XX, No. XX, pp. XXX-XXX (2024) (Accepted)
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[86]
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Koichi Kitamura, Koichi Kobayashi, and Yuh Yamashita:
Output Feedback Ultimate Boundedness Control with Decentralized Event-Triggering,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E107-A, No. 5, pp. XXX-XXX (2024) (Accepted)
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[85]
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Fuma Motoyama, Koichi Kobayashi, and Yuh Yamashita:
A BDD-Based Approach to Finite-Time Control of Boolean Networks,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E107-A, No. 5, pp. XXX-XXX (2024) (Accepted)
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[84]
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Koichi Kobayashi:
A Feedback Vertex Set-Based Approach to Simplifying Probabilistic Boolean Networks,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E107-A, No. 5, pp. XXX-XXX (2024) (Accepted)
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[83]
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Keita Terashima, Koichi Kobayashi, and Yuh Yamashita:
Reinforcement Learning for Multi-Agent Systems with Temporal Logic Specifications,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E107-A, No. 1, pp. 31-37 (2024)
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[82]
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Kyohei Murakata, Koichi Kobayashi, and Yuh Yamashita:
Multi-Agent Surveillance Based on Travel Cost Minimization,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E107-A, No. 1, pp. 25-30 (2024)
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[81]
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Michiaki Takizawa, Koichi Kobayashi, and Yuh Yamashita:
Design of reduced-order and pinning controllers for probabilistic Boolean networks using reinforcement learning,
Applied Mathematics and Computation, Vol. 457, Article 128211 (9 pages) (2023)
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[80]
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Sho Obata, Koichi Kobayashi, and Yuh Yamashita:
Detection of False Data Injection Attacks in Distributed State Estimation of Power Networks,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E106-A, No. 5, pp. 729-735 (2023)
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[79]
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Fuma Motoyama, Koichi Kobayashi, and Yuh Yamashita:
Fixed Point Preserving Model Reduction of Boolean Networks Focusing on Complement and Absorption Laws,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E106-A, No. 5, pp. 721-728 (2023)
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[78]
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Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Passivity-based control of nonlinear active dynamic vibration absorber,
International Journal of Robust and Nonlinear Control, Vol. 33, No. 5, pp. 3247-3266 (2023)
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[77]
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Ayaka Tanaka, Koichi Kobayashi, and Yuh Yamashita:
Virtual Merge and Split at Intersection for Vehicle Platooning Based on Self-Triggered Pinning Consensus Control,
Advanced Robotics, Vol. 37, No. 3, pp. 210-219 (2023)
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[76]
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Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Block sparse design of distributed controllers for dynamical network systems,
International Journal of Robust and Nonlinear Control, Vol. 33, No. 1, pp. 49-66 (2023)
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[75]
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Yuh Yamashita, Kiminori Sakano, and Koichi Kobayashi:
Asymptotic stabilization with group-wise sparse input based on control Lyapunov function approach,
International Journal of Robust and Nonlinear Control, Vol. 33, No. 1, pp. 35-48 (2023)
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[74]
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Daiki Ogawa, Koichi Kobayashi, and Yuh Yamashita:
Blockchain-Based Optimization of Distributed Energy Management Systems with Real-Time Demand Response,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E105-A, No. 11, pp. 1478-1485 (2022)
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[73]
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Sho Obata, Koichi Kobayashi, and Yuh Yamashita:
Sensor Scheduling-Based Detection of False Data Injection Attacks in Power System State Estimation,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E105-A, No. 6, pp. 1015-1019 (2022)
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[72]
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Koichi Kitamura, Koichi Kobayashi, and Yuh Yamashita:
LMI-Based Design of Output Feedback Controllers with Decentralized Event-Triggering,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E105-A, No. 5, pp. 816-822 (2022)
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[71]
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Yuh Yamashita, Ryosuke Matsukizono, and Koichi Kobayashi:
Asymptotic stabilization of nonlinear systems with convex-polytope input constraints by continuous input,
Automatica, Vol. 138, Article 110032 (9 pages) (2022)
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[70]
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Koichi Kobayashi and Yuhu Wu:
Optimal reconstruction of noisy dynamics and selection probabilities in Boolean networks,
Automatica, Vol. 136, Article 110094 (8 pages) (2022)
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[69]
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Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Robust passivity-based control design for active nonlinear suspension system,
International Journal of Robust and Nonlinear Control, Vol. 32, No. 1, pp. 373-392 (2022)
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[68]
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Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Distributed Optimal Estimation with Scalable Communication Cost,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E104-A, No. 11, pp. 1470-1476 (2021)
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[67]
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Koichi Kobayashi and Kunihiko Hiraishi:
Stochastic modeling and scalable predictive control for automated demand response,
International Journal of Robust and Nonlinear Control, Vol. 31, No. 6, pp. 2001-2017 (2021) Open Access
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[66]
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Yuh Yamashita, Haruka Sumita, Ryosuke Adachi, and Koichi Kobayashi:
Distributed Observer Design on Sensor Networks with Random Communication,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E104-A, No. 3, pp. 613-621 (2021)
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[65]
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Koichi Kobayashi, Kyohei Nakajima, and Yuh Yamashita:
Uniformly Ultimate Boundedness Control with Decentralized Event-Triggering,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E104-A, No. 2, pp. 455-461 (2021)
Open Access
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[64]
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Daiki Ogawa, Koichi Kobayashi, and Yuh Yamashita:
Effectiveness and Limitation of Blockchain in Distributed Optimization: Applications to Energy Management Systems,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E104-A, No. 2, pp. 423-429 (2021)
Open Access
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[63]
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Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Distributed estimation based on weighted data aggregation over delayed sensor networks,
IFAC Journal of Systems and Control, Vol. 14, Article 100109 (7 pages) (2020)
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[62]
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Yuh Yamashita, Naoto Adachi, Ryo Nonaka, and Koichi Kobayashi:
Design of global smooth implicit control Lyapunov function for multiple-integrator system with input constraint,
Systems & Control Letters, Vol. 145, Article 104776 (7 pages) (2020) Open Access
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[61]
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Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Active Vibration Control of Nonlinear 2DOF Mechanical Systems via IDA-PBC,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E103-A, No. 9, pp. 1078-1085 (2020)
Open Access
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[60]
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Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Distributed Observer over Delayed Sensor Networks for Systems with Unknown Inputs,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E103-A, No. 2, pp. 469-477 (2020)
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[59]
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Ryo Masuda, Koichi Kobayashi, and Yuh Yamashita:
Dynamic Surveillance by Multiple Agents with Fuel Constraints,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E103-A, No. 2, pp. 462-468 (2020)
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[58]
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Shun Andoh, Koichi Kobayashi, and Yuh Yamashita:
Self-Triggered Pinning Consensus Control for Multi-Agent Systems,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E103-A, No. 2, pp. 443-450 (2020)
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[57]
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Shun-ichi Azuma, Daisuke Sato, Koichi Kobayashi, and Nobuyuki Yamaguchi:
Detection of Defaulting Participants of Demand Response Based on Sparse Reconstruction,
IEEE Transactions on Smart Grid, Vol. 11, No. 1, pp. 368-378 (2020) Open Access
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[56]
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Katsuaki Umiji, Koichi Kobayashi, and Yuh Yamashita:
Construction Method of Probabilistic Boolean Networks Based on Imperfect Information,
Algorithms, Vol. 12, No. 12, 268 (9 pages) (2019) Link
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[55]
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Kodai Miyazaki, Koichi Kobayashi, Shun-ichi Azuma, Nobuyuki Yamaguchi, and Yuh Yamashita:
Design and Value Evaluation of Demand Response Based on Model Predictive Control,
IEEE Transactions on Industrial Informatics, Vol. 15, No. 8, pp. 4809-4818 (2019) Open Access
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[54]
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Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Distributed Estimation over Delayed Sensor Network with Scalable Communication,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E102-A, No. 5, pp. 712-720 (2019)
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[53]
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Koichi Kobayashi:
Design of Fixed Points in Boolean Networks Using Feedback Vertex Sets and Model Reduction,
Complexity, Vol. 2019, Article ID 9261793, 9 pages (2019) Link
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[52]
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Koichi Kobayashi, Mifuyu Kido, and Yuh Yamashita:
Computationally Efficient Model Predictive Control for Multi-Agent Surveillance Systems,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E102-A, No. 2, pp. 372-378 (2019)
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[51]
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Koichi Kobayashi:
Predictive Pinning Control with Communication Delays for Consensus of Multi-Agent Systems,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E102-A, No. 2, pp. 359-364 (2019)
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[50]
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Wataru Hashimoto, Yuh Yamashita, and Koichi Kobayashi:
Asymptotic Stabilization of Nonholonomic Four-wheeled Vehicle with Steering Limitation,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E102-A, No. 1, pp. 227-234 (2019)
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[49]
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Kunihiko Hiraishi and Koichi Kobayashi:
A Pathfinding Problem for Search Trees with Unknown Edge Length,
Journal of Discrete Algorithms (Accepted)
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[48]
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Ryo Masuda, Koichi Kobayashi, and Yuh Yamashita:
Optimal Monitoring of Multiple Agents via Time Sequence-Based Modeling,
SICE Journal of Control, Measurement, and System Integration, Vol. 11, No. 3, pp. 169-173 (2018)
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[47]
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Dai Satoh, Koichi Kobayashi, and Yuh Yamashita:
MPC-Based Co-Design of Control and Routing for Wireless Sensor and Actuator Networks,
International Journal of Control, Automation and Systems, Vol. 16, No. 3, pp. 953-960 (2018)
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[46]
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Shumpei Yoshikawa, Koichi Kobayashi, and Yuh Yamashita:
Quantized Event-Triggered Control of Discrete-Time Linear Systems with Switching Triggering Conditions,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E101-A, No. 2, pp. 322-327 (2018)
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[45]
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Koichi Kobayashi and Kunihiko Hiraishi:
Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities,
IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 8, pp. 1966-1971 (2017)
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[44]
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Mifuyu Kido, Koichi Kobayashi, and Yuh Yamashita:
MPC-Based Surveillance over Graphs by Multiple Agents,
SICE Journal of Control, Measurement, and System Integration, Vol. 10, No. 3, pp. 253-258 (2017)
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[43]
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Shin Kanazawa, Koichi Kobayashi, and Yuh Yamashita:
Approximate MLD System Model of Switched Linear Systems for Model Predictive Control,
SICE Journal of Control, Measurement, and System Integration, Vol. 10, No. 3, pp. 136-140 (2017)
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[42]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimization-Based Approaches to Control of Probabilistic Boolean Networks (Review Paper),
Algorithms, Vol. 10, No. 1, 31 (16 pages) (2017) Link
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[41]
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Kyohei Nakajima, Koichi Kobayashi, and Yuh Yamashita:
Linear Quadratic Regulator with Decentralized Event-Triggering,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E100-A, No. 2, pp. 414-420 (2017)
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[40]
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Dai Satoh, Koichi Kobayashi, and Yuh Yamashita:
Periodic Model Predictive Control of Multi-Hop Control Networks,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E100-A, No. 2, pp. 406-413 (2017)
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[39]
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Koichi Kobayashi and Kunihiko Hiraishi:
Verification of Real-Time Pricing Systems Based on Probabilistic Boolean Networks,
Applied Mathematics, Vol. 7, No. 15, pp. 1734-1747 (2016) Link
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[38]
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Koichi Kobayashi:
Attractor-Based Simultaneous Design of the Minimum Set of Control Nodes and Controllers in Boolean Networks,
Applied Mathematics, Vol. 7, No. 14, pp. 1510-1520 (2016) Link
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[37]
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Koichi Kobayashi:
Self-Triggered Model Predictive Control for Linear Systems Based on Transmission of Control Input Sequences,
Journal of Applied Mathematics, Vol. 2016, Article ID 8249062, 7 pages (2016) Link
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[36]
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Koichi Kobayashi and Kunihiko Hiraishi:
Event-triggered and Self-triggered Control for Networked Control Systems Using Online Optimization,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E99-A, No. 2, pp. 468-474 (2016)
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[35]
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Kunihiko Hiraishi and Koichi Kobayashi:
Diagnosis of Stochastic Discrete Event Systems Based On N-gram Models With Wildcard Characters,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E99-A, No. 2, pp. 462-467 (2016)
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[34]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of Probabilistic Logic Networks and Its Application to Real-time Pricing of Electricity,
Mathematical Problems in Engineering, Vol. 2015, Article ID 952310, 10 pages (2015) Link
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[33]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of Multi-Hop Control Networks Based on the MLD Framework,
IEEJ Transactions on Electrical and Electronic Engineering, Vol. 10, No. 6, pp. 699-705 (2015)
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[32]
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Koichi Kobayashi, Takuro Nagami, and Kunihiko Hiraishi:
Optimal Control of Multi-Vehicle Systems with Temporal Logic Constraints,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E98-A, No. 2, pp. 626-634 (2015)
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[31]
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Miwa Yoshimoto, Koichi Kobayashi, and Kunihiko Hiraishi:
Diagnosis of Stochastic Discrete Event Systems Based on N-gram Models,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E98-A, No. 2, pp. 618-625 (2015)
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[30]
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Koichi Kobayashi, Jun-ichi Imura, and Hiromichi Matsushima:
Model predictive control of directed-graph constrained systems,
International Journal of Robust and Nonlinear Control, Vol. 25, No. 1, pp. 142-162 (2015)
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[29]
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Koichi Kobayashi and Kunihiko Hiraishi:
ILP/SMT-Based Method for Design of Boolean Networks Based on Singleton Attractors,
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, No. 6, pp. 1253-1259 (2014)
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[28]
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Koichi Kobayashi and Kunihiko Hiraishi:
An optimization-based approach to sampled-data control of networked control systems with multiple delays,
Applied Mathematics and Computation, Vol. 247, pp. 786-794 (2014)
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[27]
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Koichi Kobayashi and Kunihiko Hiraishi:
A Probabilistic Approach to Control of Complex Systems and Its Application to Real-Time Pricing,
Mathematical Problems in Engineering, Vol. 2014, Article ID 906717, 8 pages (2014) Link
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[26]
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Koichi Kobayashi, Ichiro Maruta, Kazunori Sakurama, and Shun-ichi Azuma:
Modeling and Design of Real-Time Pricing Systems Based on Markov Decision Processes,
Applied Mathematics, Vol. 5, No. 10, pp. 1485-1495 (2014) Link
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[25]
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Koichi Kobayashi, Wai Wai Shein, and Kunihiko Hiraishi:
Large-Scale MPC with Continuous/Discrete-Valued Inputs: Compensation of Quantization Errors, Stabilization, and Its Application,
SICE Journal of Control, Measurement, and System Integration, Vol. 7, No. 3, pp. 152-158 (2014)
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[24]
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Koichi Kobayashi, Yasuhito Fukui, and Kunihiko Hiraishi:
Discrete Abstraction for a Class of Stochastic Hybrid Systems Based on Bounded Bisimulation,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E97-A, No. 2, pp. 459-467 (2014)
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[23]
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Koichi Kobayashi and Kunihiko Hiraishi:
Verification and Optimal Control of Context-Sensitive Probabilistic Boolean Networks Using Model Checking and Polynomial Optimization,
The Scientific World Journal, Vol. 2014, Article ID 968341, 8 pages (2014) Link
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[22]
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Koichi Kobayashi and Kunihiko Hiraishi:
Modeling and Design of Networked Control Systems Using a Stochastic Switching Systems Approach,
IEEJ Transactions on Electrical and Electronic Engineering, Vol. 9, No. 1, pp. 56-61 (2014)
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[21]
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Koichi Kobayashi and Kunihiko Hiraishi:
Self-Triggered Model Predictive Control Using Optimization with Prediction Horizon One,
Mathematical Problems in Engineering, Vol. 2013, Article ID 916040, 9 pages (2013) Link
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[20]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of Gene Regulatory Networks with Effectiveness of Multiple Drugs: A Boolean Network Approach,
BioMed Research International, Vol. 2013, Article ID 246761, 11 pages (2013) Link
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[19]
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Koichi Kobayashi and Kunihiko Hiraishi:
Verification of Opacity and Diagnosability for Pushdown Systems,
Journal of Applied Mathematics, Vol. 2013, Article ID 654059, 10 pages (2013) Link
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[18]
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Koichi Kobayashi and Kunihiko Hiraishi:
Self-Triggered Model Predictive Control with Delay Compensation for Networked Control Systems,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E96-A, No. 5, pp. 861-868 (2013)
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[17]
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Koichi Kobayashi:
Discussion on ``Theory and Computation of Discrete State Space Decompositions for Hybrid Systems'',
European Journal of Control, Vol. 19, No. 1, pp. 11-12 (2013)
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[16]
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Kunihiko Hiraishi and Koichi Kobayashi:
An approximation algorithm for box abstraction of transition systems on real state spaces,
Formal Methods in System Design, Vol. 42, No. 2, pp. 175-192 (2013)
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[15]
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Koichi Kobayashi and Kunihiko Hiraishi:
Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs,
Journal of Applied Mathematics, Vol. 2013, Article ID 615060, 9 pages (2013) Link
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[14]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of Boolean Biological Networks Modeled by Petri Nets,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E96-A, No. 2, pp. 532-539 (2013)
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[13]
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Koichi Kobayashi and Kunihiko Hiraishi:
Symbolic approach to verification and control of deterministic/probabilistic Boolean networks,
IET Systems Biology, Vol. 6, No. 6, pp. 215-222 (2012)
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[12]
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Koichi Kobayashi, Koichiro Matou, and Kunihiko Hiraishi:
Probabilistic-Constrained Optimal Control of a Class of Stochastic Hybrid Systems,
International Journal of Control, Automation, and Systems, Vol. 10, No. 5, pp. 897-904 (2012)
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[11]
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Koichi Kobayashi and Jun-ichi Imura:
Deterministic finite automata representation for model predictive control of hybrid systems,
Journal of Process Control, Vol. 22, No. 9, pp. 1670-1680 (2012)
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[10]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of Probabilistic Boolean Networks Using Polynomial Optimization,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E95-A, No. 9, pp. 1512-1517 (2012)
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[09]
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Koichi Kobayashi and Kunihiko Hiraishi:
Application of Interval Methods to Sampled-Data Control of Uncertain Piecewise Affine Systems,
SICE Journal of Control, Measurement, and System Integration, Vol. 5, No. 3, pp. 184-189 (2012)
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[08]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimization-Based Synthesis of Self-Triggered Controllers for Networked Systems,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E95-A, No. 4, pp. 691-696 (2012)
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[07]
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Koichi Kobayashi, Jun-ichi Imura, and Kunihiko Hiraishi:
Stabilization of Finite Automata with Application to Hybrid Systems Control,
Discrete Event Dynamic Systems: Theory and Applications, Vol. 21, No. 4, pp. 519-545 (2011)
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[06]
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Koichi Kobayashi and Kunihiko Hiraishi:
An integer programming approach to optimal control problems in context-sensitive probabilistic Boolean networks,
Automatica, Vol. 47, No. 6, pp. 1260-1264 (2011) detailed information in numerical examples
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[05]
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Koichi Kobayashi and Kunihiko Hiraishi:
Mixed-Integer-Programming-Based Approach to Optimal Design of Networked Control Systems,
SICE Journal of Control, Measurement, and System Integration, Vol. 4, No. 3, pp. 243-248 (2011)
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[04]
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Koichi Kobayashi, Jun-ichi Imura, and Kunihiko Hiraishi:
Polynomial-Time Algorithm for Controllability Test of a Class of Boolean Biological Networks,
EURASIP Journal on Bioinformatics and Systems Biology, Vol. 2010, Article ID 210685, 12 pages (2010) Link
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[03]
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Koichi Kobayashi and Kunihiko Hiraishi:
MLD-Based Modeling of Hybrid Systems with Parameter Uncertainty,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E92-A, No. 11, pp. 2745-2754 (2009)
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[02]
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Koichi Kobayashi, Kunihiko Hiraishi, and Nguyen Van Tang:
Approximate Algorithm for Hybrid Model Predictive Control with Time-Varying Reference,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E92-A, No. 8, pp. 2046-2052 (2009)
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[01]
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Koichi Kobayashi and Kunihiko Hiraishi:
Graph-Switching Based Modeling of Mode Transition Constraints for Model Predictive Control of Hybrid Systems,
SICE Journal of Control, Measurement, and System Integration, Vol. 1, No. 5, pp. 376-382 (2008)
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[157]
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Ryo Matsuoka, Koichi Kobayashi, and Yuh Yamashita:
Online Optimization of Pickup and Delivery Problem Considering Demand Forecasting,
Proc. of the 2023 IEEE 12nd Global Conference on Consumer Electronics, pp. 890-891, Nara (Hybrid) (2023)
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[156]
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Keita Terashima, Koichi Kobayashi, and Yuh Yamashita:
On Reward Distribution in Reinforcement Learning of Multi-Agent Surveillance Systems With Temporal Logic Specifications,
Proc. of the 2023 IEEE 12nd Global Conference on Consumer Electronics, pp. 888-889, Nara (Hybrid) (2023)
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[155]
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Genya Tamayama, Koichi Kobayashi, and Yuh Yamashita:
Self-Triggered Distributed Optimization of Energy Management Systems With Peak Shift Constraints,
Proc. of the 2023 IEEE 12nd Global Conference on Consumer Electronics, pp. 886-887, Nara (Hybrid) (2023)
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[154]
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Shota Nakayama, Koichi Kobayashi, and Yuh Yamashita:
Lyapunov Function-Based Approach to Event-Triggered Control with Self-Triggered Sampling,
Proc. of the 2023 International Symposium on Nonlinear Theory and Its Applications, pp. 467-470, Catania (2023)
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[153]
|
Yuh Yamashita and Koichi Kobayashi:
Redesign of Control Lyapunov Functions of Nonlinear Systemswith Symmetry under Feedbacks,
Proc. of the SICE Annual Conference 2023 (Position paper), pp. 411-414, Mie (Hybrid) (2023)
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[152]
|
Fuma Motoyama, Koichi Kobayashi, and Yuh Yamashita:
Finite-Time Control of Boolean Networks Using Binary Decision Diagrams,
Proc. of the SICE Annual Conference 2023 (Position paper), pp. 145-148, Mie (Hybrid) (2023)
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[151]
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Yuh Yamashita, Wataru Hashimoto, and Koichi Kobayashi:
Automatic Generation of Control Lyapunov Functions for Vehicle Guidance on Complex Paths ,
Proc. of the 22nd IFAC World Congress, pp. 8698-8703, Yokohama (2023)
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[150]
|
Ayaka Tanaka, Koichi Kobayashi, and Yuh Yamashita:
Vehicle Platooning at Intersection Based on Self-Triggered Pinning Consensus Control,
Proc. of the 22nd IFAC World Congress (Discussion paper), pp. 5026-5028, Yokohama (2023)
|
[149]
|
Keita Terashima, Koichi Kobayashi, and Yuh Yamashita:
Reinforcement Learning for Multi-Agent Systems with Temporal Logic Specifications,
Proc. of the 22nd IFAC World Congress (Discussion paper), pp. 1509-1512, Yokohama (2023)
|
[148]
|
Yuta Kawano, Koichi Kobayashi, and Yuh Yamashita:
LMI-Based Design of Structured Block-Sparse Output Feedback Controllers for Sensor and Actuator Networks,
Proc. of the 22nd IFAC World Congress (Discussion paper), pp. 1481-1484, Yokohama (2023)
|
[147]
|
Taiga Matsumae, Koichi Kobayashi, and Yuh Yamashita:
Notion of Opacity and Its Verification for Discrete-Time Piecewise Linear Systems,
Proc. of the 38th International Technical Conference on Circuits/Systems, Computers, and Communications, pp. XXX-XXX, Jeju (2023)
|
[146]
|
Hiroki Sunai, Koichi Kobayashi, and Yuh Yamashita:
Multi-Agent Reinforcement Learning Based on Event-Based Communication,
Proc. of the 38th International Technical Conference on Circuits/Systems, Computers, and Communications, pp. XXX-XXX, Jeju (2023)
|
[145]
|
Yuta Kawano, Koichi Kobayashi, and Yuh Yamashita:
LMI-Based Design of Structured Sparse Output Feedback Controllers,
Proc. of the Joint Symposium of AROB 28th 2023, ISBC 8th 2023, and SWARM 6th 2023, pp. 283-287, Beppu (Hybrid) (2023)
|
[144]
|
Koichi Kitamura, Koichi Kobayashi, and Yuh Yamashita:
Decentralized Event-Triggered Output Feedback Control for Cyber-Physical Systems,
Proc. of the Joint Symposium of AROB 28th 2023, ISBC 8th 2023, and SWARM 6th 2023, pp. 279-282, Beppu (Hybrid) (2023)
|
[143]
|
Koichi Kitamura, Koichi Kobayashi, and Yuh Yamashita:
Decentralized Event-Triggered Output Feedback Control for Cyber-Physical Systems,
Proc. of the Joint Symposium of AROB 28th 2023, ISBC 8th 2023, and SWARM 6th 2023, pp. 279-282, Beppu (Hybrid) (2023)
|
[142]
|
Koichi Kobayashi:
Markov Chain-Based Modeling of Malicious Botnet Spread for Botnet Defense Systems,
Proc. of the 2023 IEEE/SICE International Symposium on System Integration, pp. 1014-1018, Atlanta (Hybrid) (2023)
|
[141]
|
Koichi Kitamura, Koichi Kobayashi, and Yuh Yamashita:
Output Feedback Ultimate Boundedness Control with Decentralized Event-Triggering,
Proc. of the 2022 International Symposium on Nonlinear Theory and Its Applications, pp. 454-457, Online (2022)
|
[140]
|
Kyohei Murakata, Koichi Kobayashi, and Yuh Yamashita:
On Initial Locations, Feasibility, and Performance in Multi-Agent Surveillance Systems,
Proc. of the 2022 IEEE 11th Global Conference on Consumer Electronics, pp. 581-582, Osaka (Hybrid) (2022)
|
[139]
|
Keita Terashima, Koichi Kobayashi, and Yuh Yamashita:
Control of Multi-Agent Surveillance Systems Using Reinforcement Learning,
Proc. of the SICE Annual Conference 2022 (Position paper), pp. 690-693, Kumamoto (Hybrid) (2021)
|
[138]
|
Michiaki Takizawa, Koichi Kobayashi, and Yuh Yamashita:
Design of Reduced-order and Pinning Controllers for Probabilistic Boolean Networks Using Reinforcement Learning,
Proc. of the 41st Chinese Control Conference, Online (2022)
|
[137]
|
Ryo Matsuoka, Koichi Kobayashi, and Yuh Yamashita:
Online Optimization of Pickup and Delivery Problem with Fuel Constraints,
Proc. of the 37th International Technical Conference on Circuits/Systems, Computers, and Communications, Phuket (Hybrid) (2022)
|
[136]
|
Genya Tamayama, Koichi Kobayashi, Daiki Ogawa, and Yuh Yamashita:
Self-Triggered Distributed Optimization of Energy Management Systems with Demand Response,
Proc. of the 13th Asian Control Conference (Position paper), pp. 1816-1817, Jeju (Hybrid) (2022)
|
[135]
|
Ayaka Tanaka, Koichi Kobayashi, and Yuh Yamashita:
Performance Analysis of Vehicle Platooning at Intersection Based on Pinning Consensus Control,
Proc. of the Joint Symposium of AROB 27th 2022, ISBC 7th 2022, and SWARM 5th 2022, pp. 1617-1620, Online (2022)
|
[134]
|
Sho Obata, Koichi Kobayashi, and Yuh Yamashita:
Effects Analysis and Detection of False Data Injection Attacks in ADMM-Based Distributed State Estimation of Power Networks,
Proc. of the Joint Symposium of AROB 27th 2022, ISBC 7th 2022, and SWARM 5th 2022, pp. 1175-1179, Online (2022)
|
[136]
|
Kyohei Murakata, Koichi Kobayashi, and Yuh Yamashita:
Multi-Agent Surveillance Considering Equitability of Travel Costs,
Proc. of the Joint Symposium of AROB 27th 2022, ISBC 7th 2022, and SWARM 5th 2022, pp. 257-260, Online (2022)
|
[133]
|
Ayaka Tanaka, Koichi Kobayashi, and Yuh Yamashita:
Self-Triggered Consensus Approach to Vehicle Platooning at Intersection,
Proc. of the 39th IEEE International Conference on Consumer Electronics, Online (2021)
|
[132]
|
Sho Obata, Koichi Kobayashi, and Yuh Yamashita:
On Detection of False Data Injection Attacks in Distributed State Estimation of Power Networks,
Proc. of the 2021 IEEE 10th Global Conference on Consumer Electronics, pp. 472-473, Kyoto (2021)
|
[131]
|
Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Construction of ISS Lyapunov functions for Hamiltonian systems with multiple disturbances,
Proc. of the Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, pp. 300-305, Online (2021)
|
[130]
|
Fuma Motoyama, Koichi Kobayashi, and Yuh Yamashita:
A Graph-Theoretic Approach to Model Reduction of Boolean Networks,
Proc. of the SICE Annual Conference 2021 (Position paper), pp. 932-935, Online (2021)
|
[129]
|
Michiaki Takizawa, Koichi Kobayashi, and Yuh Yamashita:
Pinning Stabilization of Probabilistic Boolean Networks Using Reinforcement Learning,
Proc. of the SICE Annual Conference 2021 (Position paper), pp. 922-925, Online (2021)
|
[130]
|
Yohei Kunitsugu, Yuh Yamashita, and Koichi Kobayashi:
Optimal Control Considering Standby Power of Actuators,
Proc. of the SICE Annual Conference 2021 (Position paper), pp. 443-446, Online (2021)
|
[129]
|
Koichi Kitamura, Koichi Kobayashi, and Yuh Yamashita:
LMI-Based Design of Decentralized Event-Triggered Control over Sensor and Actuator Networks,
Proc. of the SICE Annual Conference 2021 (Position paper), pp. 433-436, Online (2021)
|
[128]
|
Ayaka Tanaka, Koichi Kobayashi, and Yuh Yamashita:
Vehicle Platooning at Intersection Based on Pinning Consensus Control,
Proc. of the 36th International Technical Conference on Circuits/Systems, Computers and Communications, pp. 200-203, Jeju (Online) (2021)
|
[127]
|
Kyohei Murakata, Koichi Kobayashi, and Yuh Yamashita:
Multi-Agent Surveillance Based on Travel Cost Minimization,
Proc. of the 36th International Technical Conference on Circuits/Systems, Computers and Communications, pp. 197-199, Jeju (Online) (2021)
|
[126]
|
Koichi Kitamura, Koichi Kobayashi, and Yuh Yamashita:
Decentralized Event-Triggered Control of Discrete-Time Linear Systems via Output Feedback,
Proc. of the 30th International Symposium on Industrial Electronics, pp. XX-XX, Kyoto (Online) (2021)
|
[125]
|
Michiaki Takizawa, Koichi Kobayashi, and Yuh Yamashita:
Reinforcement Learning Approach to Design of Simple Stabilizing Controllers for Probabilistic Boolean Networks,
Proc. of the 26th International Symposium on Artificial Life and Robotics, pp. 101-104, Online (2021)
|
[124]
|
Sho Obata, Koichi Kobayashi, and Yuh Yamashita:
Sensor Scheduling-Based Detection of False Data Injection Attacks in Power System State Estimation,
Proc. of the 39th IEEE International Conference on Consumer Electronics, pp. XXX-XXX, Online (2021)
|
[123]
|
Shogo Shimamoto, Koichi Kobayashi, and Yuh Yamashita:
Stochastic Model Predictive Control of Energy Management Systems with Human in the Loop,
Proc. of the 2017 IEEE 9th Global Conference on Consumer Electronics, pp. 69-70, Kobe (Online) (2020)
|
[122]
|
Daiki Ogawa, Koichi Kobayashi, and Yuh Yamashita:
Blockchain-Based Optimization of Energy Management Systems with Demand Response,
Proc. of the 2017 IEEE 9th Global Conference on Consumer Electronics, pp. 67-68, Kobe (Online) (2020)
|
[121]
|
Kei Isono, Koichi Kobayashi, and Yuh Yamashita:
On Attack Detection in Sensor Networks Using Distributed Moving Horizon Estimation,
Proc. of the SICE Annual Conference 2020 (Position paper), pp. 1602-1605, Chiang Mai (Online) (2020)
|
[120]
|
Koichi Kobayashi, Kyohei Nakajima, and Yuh Yamashita:
LMI-Based Simultaneous Design of Controllers and Decentralized Event-Triggering Conditions,
Proc. of the SICE Annual Conference 2020 (Position paper), pp. 1585-1588, Chiang Mai (Online) (2020)
|
[119]
|
Sho Obata, Koichi Kobayashi, and Yuh Yamashita:
Enforcing Security of Power System State Estimation Using Random Sensor Scheduling,
Proc. of the SICE Annual Conference 2020 (Position paper), pp. 1163-1165, Chiang Mai (Online) (2020)
|
[118]
|
Koichi Kobayashi and Yuhu Wu:
Deriving a Simple Probabilistic Boolean Network from Incomplete Knowledge,
Proc. of the 39th Chinese Control Conference (Position paper), pp. 8088-8091, Shenyang (Online) (2020)
|
[117]
|
Daiki Ogawa, Koichi Kobayashi, and Yuh Yamashita:
ADMM-Based Optimization of Distributed Energy Management Systems with Demand Response,
Proc. of the 21st IFAC World Congress (Late breaking results), Berlin (Online) (2020)
|
[116]
|
Kei Isono, Koichi Kobayashi, Ryosuke Adachi, and Yuh Yamashita:
On Sensor Attack Detection in Control Systems Using Moving Horizon Estimation and Control Performance,
Proc. of the 21st IFAC World Congress (Late breaking results), Berlin (Online) (2020)
|
[115]
|
Ryosuke Adachi, Yuji Wakasa, and Koichi Kobayashi:
On Minimum Time Control for Dynamical Transportation Using ADMM,
Proc. of the 21st IFAC World Congress (Late breaking results), Berlin (Online) (2020)
|
[114]
|
Fangyuan Xu, Shun-ichi Azuma, Koichi Kobayashi, Nobuyuki Yamaguchi, Ryo Ariizumi, and Toru Asai:
Detection of Defaulting Participants with Time-Varying Failure Rates in Demand Response,
Proc. of the 21st IFAC World Congress, pp. 13511-13515, Berlin (Online) (2020)
|
[113]
|
Yuh Yamashita, Yuta Sakai, and Koichi Kobayashi:
Optimal Regulators for Nonlinear Systems with Incompatible State and Input Cost Functions,
Proc. of the 21st IFAC World Congress, pp. 6901-6906, Berlin (Online) (2020)
|
[112]
|
Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Passivity-Based Nonlinear Active Suspension Control Utilizing Relative Information,
Proc. of the 21st IFAC World Congress, pp. 5660-5665, Berlin (Online) (2020)
|
[111]
|
Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Design of Controller and Observer for Dynamical Network Systems Based on Weighted Degrees,
Proc. of the 21st IFAC World Congress, pp. 3392-3397, Berlin (Online) (2020)
|
[110]
|
Hiroyuki Ichihara, Kenji Sawada, Koichi Kobayashi, and Sophie Tarbouriech:
Event-Triggered Control for Extended Plants of Discrete-Time Linear Systems,
Proc. of the 21st IFAC World Congress, pp. 2756-2761, Berlin (Online) (2020)
|
[109]
|
Fuma Motoyama, Koichi Kobayashi, and Yuh Yamashita:
Model Reduction of Boolean Networks Using BDD,
Proc. of the 35th International Technical Conference on Circuits/Systems, Computers and Communications, pp. 89-93, Nagoya (Online) (2020)
|
[108]
|
Shogo Shimamoto, Koichi Kobayashi, and Yuh Yamashita:
Model Predictive Control of Energy Management Systems with Human Decision Making,
Proc. of the 35th International Technical Conference on Circuits/Systems, Computers and Communications, pp. 84-88, Nagoya (Online) (2020)
|
[107]
|
Koichi Kobayashi:
MPC-Based Persistent Surveillance by Heterogeneous Agents Using Mixed Integer Programming,
Proc. of the 25th International Symposium on Artificial Life and Robotics, pp. 414-417, Beppu (2020)
|
[106]
|
Shun Andoh, Koichi Kobayashi, and Yuh Yamashita:
Hierarchical Pinning Control for Consensus of Multi-Agent Systems and Its Application to Vehicle Platooning,
Proc. of the 2020 IEEE/SICE International Symposium on System Integration, pp. 1064-1069, Honolulu (2020)
|
[105]
|
Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Robust Active Vibration Controller Design for a Class of Underactuated Nonlinear Systems,
Proc. of the 2020 IEEE/SICE International Symposium on System Integration, pp. 465-470, Honolulu (2020)
|
[104]
|
Katsuaki Umiji, Koichi Kobayashi, and Yuh Yamashita:
Construction Method of Probabilistic Boolean Networks Based on Imperfect Information,
Proc. of the 2019 International Symposium on Nonlinear Theory and Its Applications, pp. 513-516, Kuala Lumpur (2019)
|
[103]
|
Ryo Masuda, Koichi Kobayashi, and Yuh Yamashita:
Dynamic Surveillance by Multiple Agents with Fuel Constraints,
Proc. of the 2019 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3331-3336, Bari (2019)
|
[102]
|
Kiminori Sakano, Yuh Yamashita, and Koichi Kobayashi:
Stabilization of Nonlinear Systems by Sparse Input with Input Grouping,
Proc. of the SICE Annual Conference 2019, pp. 1653-1656, Hiroshima (2019)
|
[101]
|
Shun Andoh, Koichi Kobayashi, and Yuh Yamashita:
Observer-Based Self-Triggered Pinning Control for Consensus of Multi-Agent Systems,
Proc. of the SICE Annual Conference 2019, pp. 1440-1443, Hiroshima (2019)
|
[100]
|
Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
On the Optimality of Distributed Observer Using Belief Propagation,
Proc. of the SICE Annual Conference 2019, pp. 645-648, Hiroshima (2019)
|
[99]
|
Akihisa Higashino, Yuh Yamashita, and Koichi Kobayashi:
Control of Bilateral Teleoperation System Consisting of Heterogeneous Manipulators with Communication Delay,
Proc. of the 11th IFAC Symposium on Nonlinear Control Systems, pp. 1307-1312, Vienna (2019)
|
[98]
|
Kei Isono, Koichi Kobayashi, Ryosuke Adachi, and Yuh Yamashita:
Attack Detection in Control Systems Based on Unknown Input Observers and Control Performance,
Proc. of the 34th International Technical Conference on Circuits/Systems, Computers and Communications, pp. 290-293, Jeju (2019)
|
[97]
|
Daiki Ogawa, Koichi Kobayashi, and Yuh Yamashita:
Effectiveness and Limitation of Blockchain in Distributed Optimization,
Proc. of the 34th International Technical Conference on Circuits/Systems, Computers and Communications, pp. 286-289, Jeju (2019)
|
[96]
|
Koichi Kobayashi, Kyohei Nakajima, and Yuh Yamashita:
Decentralized Event-Triggered Control of Discrete-Time Linear Systems Based on Uniformly Ultimate Boundedness,
Proc. of the 12th Asian Control Conference, pp. 1392-1397, Kitakyushu (2019)
|
[95]
|
Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Distributed Estimation over Delayed Sensor Networks with Cyclic Structure,
Proc. of the 12th Asian Control Conference, pp. 1386-1391, Kitakyushu (2019)
|
[94]
|
Daiki Ogawa, Koichi Kobayashi, and Yuh Yamashita:
Blockchain-Based Distributed Optimization for Energy Management Systems,
Proc. of the IEEE International Conference on Industrial Cyber-Physical Systems, pp. 694-699, Taipei (2019)
|
[93]
|
Koichi Kobayashi:
Observer-Based Predictive Pinning Control for Consensus of Multi-Agent Systems,
Proc. of the 24th International Symposium on Artificial Life and Robotics, pp. 458-461, Beppu (2019)
|
[92]
|
Koichi Kobayashi:
A Graph-Theoretic Approach to Design of Probabilistic Boolean Networks,
Proc. of the 5th IFAC Conference on Analysis and Control of Chaotic Systems, pp. 191-196, Eindhoven (2018)
|
[91]
|
Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Observer Design for Distributed Network Systems with Communication Delays,
Proc. of the 5th IFAC Conference on Analysis and Control of Chaotic Systems, pp. 102-107, Eindhoven (2018)
|
[90]
|
Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Active Nonlinear Tuned Mass Damper via IDA-PBC,
Proc. of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, pp. 4383-4388, Miyazaki (2018)
|
[89]
|
Kunihiko Hiraishi, Naoshi Uchihira, Sunseong Choe, and Koichi Kobayashi:
Information Supervisory Control of Human Behavior - A Formal Model and Simulation -,
Proc. of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2021-2026, Miyazaki (2018)
|
[88]
|
Koichi Kobayashi, Mifuyu Kido, and Yuh Yamashita:
Computationally Efficient Model Predictive Control for Multi-Agent Surveillance Systems,
Proc. of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2015-2020, Miyazaki (2018)
|
[87]
|
Shun Andoh, Koichi Kobayashi, and Yuh Yamashita:
Self-Triggered Predictive Pinning Control for Consensus of Multi-Agent Systems,
Proc. of the SICE Annual Conference 2018 (Position paper), pp. 1806-1809, Nara (2018)
|
[86]
|
Shumpei Yoshikawa, Koichi Kobayashi, and Yuh Yamashita:
Switching Controller Design for Quantized Event-Triggered Control,
Proc. of the SICE Annual Conference 2018 (Position paper), pp. 1797-1800, Nara (2018)
|
[85]
|
Koichi Kobayashi:
On Model Reduction of Probabilistic Boolean Networks,
Proc. of the SICE Annual Conference 2018 (Position paper), pp. 1411-1413, Nara (2018)
|
[84]
|
Koichi Kobayashi:
On Opacity Formulation and Verification in Boolean Networks,
Proc. of the SICE Annual Conference 2018 (Position paper), pp. 253-255, Nara (2018)
|
[83]
|
Yuh Yamashita, Kiminori Sakano, and Koichi Kobayashi:
Asymptotically Stabilizing Controller Generating Sparse Input for Nonlinear Systems,
Proc. of the 23rd International Symposium on Mathematical Theory of Networks and Systems, pp. 435-440, Hong Kong (2018)
|
[82]
|
Kodai Miyazaki, Koichi Kobayashi, Shun-ichi Azuma, Nobuyuki Yamaguchi, and Yuh Yamashita:
MPC-Based Design of Demand Response Programs in Energy Management Systems,
Proc. of the 33rd International Technical Conference on Circuits/Systems, Computers and Communications, pp. 620-622, Bangkok (2018)
|
[81]
|
Sheng Hao, Yuh Yamashita, and Koichi Kobayashi:
Vibration Suppression of Hamiltonian Systems with Velocity and Force Disturbances Using IDA-PBC,
Proc. of the Second IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, pp. 285-290, Guadalajara (2018)
|
[80]
|
Kazuya Nomura, Yuh Yamashita, and Koichi Kobayashi:
Nonlinear system identification by affine coordinate unification of locally identified MIMO linear systems,
Proc. of the SICE International Symposium on Control Systems 2018, Su21-1, Tokyo (2018)
|
[79]
|
Koichi Kobayashi:
Predictive Pinning Control with Communication Delays for Consensus of Multi-Agent Systems,
Proc. of the 15th International Workshop on Advanced Motion Control, pp. 593-598, Tokyo (2018)
|
[78]
|
Kodai Miyazaki, Koichi Kobayashi, Shun-ichi Azuma, Nobuyuki Yamaguchi, and Yuh Yamashita:
Model Predictive-Based Demand Response in Energy Management Systems,
Proc. of the 23rd International Symposium on Artificial Life and Robotics, pp. 815-818, Beppu (2018)
|
[77]
|
Kenta Ohashi, Koichi Kobayashi, and Yuh Yamashita:
Markov Chain-Based Modeling Techniques of Appliances for Demand Response,
Proc. of the 23rd International Symposium on Artificial Life and Robotics, pp. 805-808, Beppu (2018)
|
[76]
|
Kunihiko Hiraishi, Naoshi Uchihira, Sunseong Choe, and Koichi Kobayashi:
Information Supervisory Control of Human Behavior - Experiments and Formal Modeling -,
Proc. of the 2017 Asian Control Conference, pp. 1351-1356, Gold Coast (2017)
|
[75]
|
Wataru Hashimoto, Yuh Yamashita, and Koichi Kobayashi:
Asymptotic Stabilization of Nonholonomic Four-Wheeled Vehicle with Hysteresis Mechanism,
Proc. of the 2017 International Symposium on Nonlinear Theory and Its Applications, pp. 30-33, Cancun (2017)
|
[74]
|
Koichi Kobayashi:
Control of Singleton Attractors in Boolean Networks Based on Model Reduction,
Proc. of the 2017 International Symposium on Nonlinear Theory and Its Applications, pp. 18-21, Cancun (2017)
|
[73]
|
Koichi Kobayashi, Kunihiko Hiraishi, Sunseong Choe, and Naoshi Uchihira:
Model-Based Approach to Analysis of Human Behavior with Applications to Nursing and Caregiving Services,
Proc. of the 2017 IEEE 6th Global Conference on Consumer Electronics, pp. 804-807, Nagoya (2017)
|
[72]
|
Shumpei Yoshikawa, Koichi Kobayashi, and Yuh Yamashita:
Quantized Event-Triggered Control of Discrete-Time Linear Systems with Switching Triggering Conditions,
Proc. of the SICE Annual Conference 2017 (Position paper), pp. 313-316, Kanazawa (2017)
|
[71]
|
Ryo Masuda, Koichi Kobayashi, and Yuh Yamashita:
Optimal Monitoring of Multiple Agents via Time Sequence-Based Modeling,
Proc. of the SICE Annual Conference 2017 (Position paper), pp. 168-171, Kanazawa (2017)
|
[70]
|
Dai Satoh, Koichi Kobayashi, and Yuh Yamashita:
Stochastic Model Predictive Control of Multi-Hop Control Networks with Packet Dropouts,
Proc. of the SICE Annual Conference 2017 (Position paper), pp. 164-167, Kanazawa (2017)
|
[69]
|
Kazuya Nomura, Yuh Yamashita, and Koichi Kobayashi:
A Unification Method of Locally Identified Linear Systems and Reconstruction of Nonlinear Dynamical Model,
Proc. of the 20th IFAC World Congress, pp. 14569-14574, Toulouse (2017)
|
[68]
|
Koichi Kobayashi, Kunihiko Hiraishi, Sunseong Choe, and Naoshi Uchihira:
Behavioral Analysis in Nursing and Caregiving Services Using Switched Linear Regression Models,
Proc. of the 20th IFAC World Congress, pp. 4668-4673, Toulouse (2017)
|
[67]
|
Ryosuke Adachi, Yuh Yamashita, and Koichi Kobayashi:
Data Aggregation based Estimation for Sensor Network with Communication Delay,
Proc. of the 20th IFAC World Congress, pp. 2543-2548, Toulouse (2017)
|
[66]
|
Yuh Yamashita, Ryosuke Matsukizono, and Koichi Kobayashi:
Asymptotic Stabilization of Nonlinear Systems with Convex-Polytope Input Constraints and its Inverse Optimality,
Proc. of the 20th IFAC World Congress, pp. 1433-1438, Toulouse (2017)
|
[65]
|
Kyohei Nakajima, Koichi Kobayashi, and Yuh Yamashita:
BMI Approach to Design of Networked Control Systems with Decentralized Event-Triggering,
Proc. of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, pp. 765-769, Sapporo (2017)
|
[64]
|
Kenta Ohashi, Koichi Kobayashi, and Yuh Yamashita:
Switched Probabilistic Model of Consumers for Demand Response,
Proc. of the 32nd International Technical Conference on Circuits/Systems, Computers and Communications, pp. 143-146, Busan (2017)
|
[63]
|
Kyohei Nakajima, Koichi Kobayashi, and Yuh Yamashita:
Linear Quadratic Regulator with Decentralized Event-Triggering,
Proc. of the 42nd Annual Conference of IEEE Industrial Electronics Society, pp. 5374-5379, Florence (2016)
|
[62]
|
Daiki Suzuki, Yuh Yamashita, and Koichi Kobayashi:
Backstepping for Set-valued Upper Control Laws and Its Application to Control Allocation Problem,
Proc. of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, pp. 4245-4250, Budapest (2016)
|
[61]
|
Dai Satoh, Koichi Kobayashi, and Yuh Yamashita:
Periodic Model Predictive Control of Multi-Hop Control Networks,
Proc. of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1279-1284, Budapest (2016)
|
[60]
|
Kunihiko Hiraishi, Naoshi Uchihira, Sunseong Choe, and Koichi Kobayashi:
Information Supervisory Control of Human Behavior - Concept and Experiments Toward Realization -,
Proc. of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, pp. 790-795, Budapest (2016)
|
[59]
|
Koichi Kobayashi:
Optimal Real-Time Pricing of Electricity Based on Switched Markov Chain Models and Welfare Maximization,
Proc. of the 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, pp. 35-39, Nagoya (2016)
|
[58]
|
Shin Kanazawa, Koichi Kobayashi, and Yuh Yamashita:
Approximate MLD System Model of Switched Linear Systems for Model Predictive Control,
Proc. of the SICE Annual Conference 2016 (Position paper), pp. 1745-1748, Tsukuba (2016)
|
[57]
|
Dai Satoh, Koichi Kobayashi, and Yuh Yamashita:
Model Predictive Control of Multiple Plants over Communication Networks,
Proc. of the SICE Annual Conference 2016 (Position paper), pp. 1737-1740, Tsukuba (2016)
|
[56]
|
Wataru Hashimoto, Yuh Yamashita, Ryo Nonaka, and Koichi Kobayashi:
Asymptotic Stabilization of Nonholonomic Four-Wheeled Vehicle with Steering Limitation based on Lyapunov Function Approach,
Proc. of the 10th IFAC Symposium on Nonlinear Control Systems, pp. 235-240, Monterey (2016)
|
[55]
|
Mifuyu Kido, Koichi Kobayashi, and Yuh Yamashita:
An MILP Approach to Optimal Surveillance over Graphs,
Proc. of the 31st International Technical Conference on Circuits/Systems, Computers and Communications, pp. 133-136, Okinawa (2016)
|
[54]
|
Kaoru Sato, Kunihiko Hiraishi, and Koichi Kobayashi:
Spatio-Temporal Situation Recognition for Groups in Caregiving Services,
Proc. of the 2016 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support,
pp. 78-82, San Diego (2016)
|
[53]
|
Koichi Kobayashi:
Notions of Opacity in Hybrid Systems for Cybersecurity,
Proc. of the 21st International Symposium on Artificial Life and Robotics, pp. 83-86, Beppu (2016)
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[52]
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Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Real-time Pricing of Electricity with Consideration for Decrease in Price Effect,
Proc. of the 11th IEEE International Conference on Automation Science and Engineering, pp. 539-544, Gothenburg (2015)
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[51]
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Kenji Uehara, Kunihiko Hiraishi, and Koichi Kobayashi:
Mesoscopic Modeling of Airport Surface by Object Petri Nets,
Proc. of the 11th IEEE International Conference on Automation Science and Engineering, pp. 298-303, Gothenburg (2015)
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[50]
|
Kaoru Sato, Koichi Kobayashi, and Kunihiko Hiraishi:
Situation Recognition from Behavior Logs in Caregiving Services,
Proc. of the 30th International Technical Conference on Circuit/Systems Computers and Communications, pp. 721-724, Seoul (2015)
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[49]
|
Koichi Kobayashi and Kunihiko Hiraishi:
On Event-triggered and Self-triggered Control Using Online Optimization,
Proc. of the 2015 IEEE International Conference on Mechatronics, pp. 582-587, Nagoya (2015)
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[48]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Algorithm for Optimal Real-time Pricing Based on Switched Markov Chain Models,
Proc. of the 6th IEEE PES Conference on Innovative Smart Grid Technologies, ISGT2015-000039, Washington, D.C. (2015)
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[47]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Real-time Pricing for Energy Management Systems Based on Switched Interval Markov Chains,
Proc. of the 20th International Symposium on Artificial Life and Robotics, pp. 172-175, Beppu (2015)
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[46]
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Koichi Kobayashi and Kunihiko Hiraishi:
A Probabilistic Approach to Design of Real-time Pricing Systems over Communication Networks,
Proc. of the 40th Annual Conference of the IEEE Industrial Electronics Society, pp. 4732-4737, Dallas (2014)
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[45]
|
Koichi Kobayashi and Kunihiko Hiraishi:
On Model Checking of Real-Time Pricing Systems Modeled by Probabilistic Discrete Models,
The SICE Annual Conference 2014 (Position paper), Sapporo (2014) (Accepted)
|
[44]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Structural Control of Probabilistic Boolean Networks and Its Application to Design of Real-Time Pricing Systems,
The 19th IFAC World Congress, Cape Town (2014) (Accepted)
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[43]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Simultaneous Design of Prices and Incentives for Demand Response,
Proc. of the 29th International Technical Conference on Circuit/Systems Computers and Communications, pp. 853-856, Phuket (2014)
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[42]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Design of Boolean Networks Based on Prescribed Singleton Attractors,
Proc. of the 13th European Control Conference, pp. 1504-1509, Strasbourg (2014)
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[41]
|
Kunihiko Hiraishi and Koichi Kobayashi:
Detection of Unusual Human Activities Based on Behavior Modeling,
Proc. of the 12th IFAC International Workshop on Discrete Event Systems, pp. 182-187, Cachan (2014)
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[40]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Self-Triggered Optimal Control of Linear Systems Using Convex Quadratic Programming,
Proc. of the 13th International Workshop on Advanced Motion Control, pp. 741-745, Yokohama (2014)
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[39]
|
Kunihiko Hiraishi, Koichi Kobayashi, Sunseong Choe, and Naoshi Uchihira:
Behavior Modeling in Physical and Adaptive Intelligent Services,
Proc. of the 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support,
pp. 221-226, San Antonio (2014)
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[38]
|
Koichi Kobayashi and Kunihiko Hiraishi:
A Polynomial Optimization Approach to Optimal Control of Context-Sensitive Probabilistic Boolean networks,
Proc. of the 19th International Symposium on Artificial Life and Robotics, pp. 92-95, Beppu (2014)
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[37]
|
Koichi Kobayashi, Takuro Nagami, and Kunihiko Hiraishi:
Optimal Control of Multi-Vehicle Systems with LTL Specifications,
Proc. of the 52nd IEEE Conference on Decision and Control, pp. 7709-7714, Florence (2013)
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[36]
|
Koichi Kobayashi, Yasuhito Fukui, and Kunihiko Hiraishi:
Discrete Abstraction for a Class of Stochastic Hybrid Systems Based on Bounded Bisimulation,
Proc. of the 52nd IEEE Conference on Decision and Control, pp. 2641-2646, Florence (2013)
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[35]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Modeling and Optimal Control of Multi-Hop Control Networks Based on the MLD Framework,
Proc. of the 39th Annual Conference of the IEEE Industrial Electronics Society, pp. 5654-5659, Vienna (2013)
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[34]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Controller Design of Networked Control Systems with Multiple Delays Using Interval Methods,
Proc. of the 39th Annual Conference of the IEEE Industrial Electronics Society, pp. 5630-5635, Vienna (2013)
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[33]
|
Wai Wai Shein, Koichi Kobayashi, and Kunihiko Hiraishi:
Hierarchical Implementation of Large-Scale Control Systems and Its Application to Air-Conditioning Systems,
Proc. of the SICE Annual Conference 2013 (Regular Paper), pp. 601-606, Nagoya (2013)
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[32]
|
Koichi Kobayashi, Ichiro Maruta, Kazunori Sakurama, and Shun-ichi Azuma:
An MDP Approach to Modeling and Control of Real-Time Pricing Systems,
Proc. of the SICE Annual Conference 2013 (Regular Paper), pp. 595-600, Nagoya (2013)
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[31]
|
Kunihiko Hiraishi, Miwa Yoshimoto, and Koichi Kobayashi:
Diagnosis of Stochastic Discrete Event Systems Based on N-gram Models with Wildcard Characters,
Proc. of the 6th IFIP/IEEE International Workshop on Distributed Autonomous Network Management Systems, pp. 1384-1388, Ghent (2013)
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[30]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Self-Triggered Optimal Control Based on Optimization with Prediction Horizon One,
Proc. of the 18th International Symposium on Artificial Life and Robotics, pp. 342-345, Daejeon (2013)
|
[29]
|
Koichi Kobayashi and Kunihiko Hiraishi:
A Petri Net-Based Approach to Control of Boolean Networks,
Proc. of Workshop on Computational Complexity Analysis and Algorithm Design for Combinatorial Optimization Problems (as a part of ICNC'12),
pp. 399-403, Okinawa (2012)
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[28]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Self-Triggered Model Predictive Control with Delay Compensation for Networked Control Systems,
Proc. of the 38th Annual Conference of the IEEE Industrial Electronics Society, pp. 3182-3187, Montreal (2012)
|
[27]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Design of Networked Control Systems Using a Stochastic Switching Systems Approach,
Proc. of the 38th Annual Conference of the IEEE Industrial Electronics Society, pp. 3152-3157, Montreal (2012)
|
[26]
|
Koichi Kobayashi and Kunihiko Hiraishi:
On Opacity and Diagnosability in Discrete Event Systems Modeled by Pushdown Automata,
Proc. of the 8th IEEE International Conference on Automation Science and Engineering, pp. 658-663, Seoul (2012)
|
[25]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Probabilistic Control of Boolean Networks with Multiple Dynamics: Towards Control of Gene Regulatory Networks,
Proc. of the 50th IEEE Conference on Decision and Control and European Control Conference, pp. 4371-4376, Orlando (2011)
|
[24]
|
Koichi Kobayashi, Koichiro Matou, and Kunihiko Hiraishi:
Optimal Control of a Class of Stochastic Hybrid Systems with Probabilistic Constraints,
Proc. of the 50th IEEE Conference on Decision and Control and European Control Conference, pp. 3307-3312, Orlando (2011)
|
[23]
|
Koichi Kobayashi and Kunihiko Hiraishi:
A Symbolic Approach to Probabilistic Verification of Boolean Networks,
Proc. of the 37th Annual Conference of the IEEE Industrial Electronics Society, pp. 3635-3640, Melbourne (2011)
|
[22]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Sampled-Data Control of Piecewise Affine Systems with Parameter Uncertainty,
Proc. of the SICE Annual Conference 2011, pp. 605-607, Tokyo (2011)
|
[21]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of a Class of Networked Systems Based on MLD Framework,
Proc. of the 18th IFAC World Congress, pp. 66-71, Milano (2011)
|
[20]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of Asynchronous Boolean Networks Modeled by Petri Nets,
Proc. of the International Workshop on Biological Processes & Petri Nets, pp. 7-20, Newcastle upon Tyne (2011)
|
[19]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Optimal Control of Context-Sensitive Probabilistic Boolean Networks Using Integer Programming,
Proc. of the 49th IEEE Conference on Decision and Control, pp. 7507-7512, Atlanta (2010)
|
[18]
|
Koichi Kobayashi and Kunihiko Hiraishi:
MLD-Based Modeling and MPC of Discrete-Time Hybrid Systems with Stochastic Mode Transitions,
Proc. of the 19th IEEE Conference on Control Applications (as a part of 2010 MSC), pp. 1331-1336, Yokohama (2010)
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[17]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Reachability Analysis of Probabilistic Boolean Networks using Model Checking,
Proc. of the SICE Annual Conference 2010, pp. 829-832, Taipei (2010)
|
[16]
|
Koichi Kobayashi and Jun-ichi Imura:
Free-Variable Analysis of Finite Automata Representations for Hybrid Systems Control,
Proc. of the 19th International Symposium on Mathematical Theory of Networks and Systems, pp. 483-488, Budapest (2010)
|
[15]
|
Koichi Kobayashi and Kunihiko Hiraishi:
An Integer Programming Approach to Control Problems in Probabilistic Boolean Networks,
Proc. of the 2010 American Control Conference, pp. 6710-6715, Baltimore (2010)
|
[14]
|
Koichi Kobayashi and Jun-ichi Imura:
Stabilization of Deterministic Finite Automata Based on Linear State Equation Representation,
Proc. of the European Control Conference 2009, pp. 4368-4373, Budapest (2009)
|
[13]
|
Koichi Kobayashi, Jun-ichi Imura, and Kunihiko Hiraishi:
Stabilizing Model Predictive Control of Hybrid Systems with Discrete Dynamics,
Proc. of the ICROS-SICE International Joint Conference 2009, pp. 4831-4836, Fukuoka (2009)
|
[12]
|
Koichi Kobayashi and Jun-ichi Imura:
Observability Analysis of Boolean Networks with Biological Applications,
Proc. of the ICROS-SICE International Joint Conference 2009, pp. 4393-4396, Fukuoka (2009)
|
[11]
|
Kunihiko Hiraishi and Koichi Kobayashi:
A Faster Approximation Technique for Predicate Abstraction of Hybrid Systems,
Proc. of the ICROS-SICE International Joint Conference 2009, pp. 1717-1721, Fukuoka (2009)
|
[10]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Analysis and Control of Hybrid Systems with Parameter Uncertainty Based on Interval Methods,
Proc. of the 2009 American Control Conference, pp. 3632-3637, St. Louis (2009)
|
[09]
|
Koichi Kobayashi, Jun-ichi Imura, and Kunihiko Hiraishi:
Polynomial-Time Controllability Analysis of Boolean Networks,
Proc. of the 2009 American Control Conference, pp. 1694-1699, St. Louis (2009)
|
[08]
|
Koichi Kobayashi and Kunihiko Hiraishi:
Explicit Modeling of Mode Transition Constraints for Model Predictive Control,
Proc. of the SICE Annual Conference 2008, pp. 1569-1574, Chofu (2008)
|
[07]
|
Koichi Kobayashi, Nguyen Van Tang, and Kunihiko Hiraishi:
On-line and Off-line Based Approximation Algorithm for Model Predictive Control of Hybrid Systems,
Proc. of the 23rd International Technical Conference on Circuits/Systems, Computers and Communications, pp. 913-916, Shimonoseki (2008)
|
[06]
|
Koichi Kobayashi and Jun-ichi Imura:
Model Predictive Control of Directed-Graph type Hybrid Systems,
Proc. of the 46th IEEE Conference on Decision and Control, pp. 3196-3201, New Orleans (2007)
|
[05]
|
Koichi Kobayashi and Jun-ichi Imura:
Time-Sequence Based Modeling of Finite Automata in Model Predictive Control of Hybrid Systems,
Proc. of the 2007 American Control Conference, pp. 4186-4191, New York City (2007)
|
[04]
|
Koichi Kobayashi and Jun-ichi Imura:
Minimal Representation of Finite Automata for Hybrid Systems Control,
Proc. of the 45th IEEE Conference on Decision and Control, pp. 930-935, San Diego (2006)
|
[03]
|
Koichi Kobayashi and Jun-ichi Imura:
Efficient Modeling of Piecewise Affine Systems in Model Predictive Control,
Proc. of the SICE-ICASE International Joint Conference 2006, pp. 5120-5123, Busan (2006)
|
[02]
|
Koichi Kobayashi and Jun-ichi Imura:
Modeling of Discrete Dynamics for Computational Time Reduction of Model Predictive Control,
Proc. of the 17th International Symposium on Mathematical Theory of Networks and Systems, pp. 628-633, Kyoto (2006)
|
[01]
|
Koichi Kobayashi and Jun-ichi Imura:
System Representation for Logical Dynamics via a Descriptor Form,
Proc. of the SICE Annual Conference 2005, pp. 2041-2044, Okayama (2005)
|