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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 33  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, SIP, VLD, MSS 2022-06-16
10:50
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Multi-Agent Surveillance Based on Equitability of Travel Costs
Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.)
(To be available after the conference date) [more]
IT, ISEC, RCC, WBS 2022-03-10
13:50
Online Online Decentralized Event-Triggered Output Feedback Control for Sensor and Actuator Networks
Koichi Kitamura, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) IT2021-107 ISEC2021-72 WBS2021-75 RCC2021-82
In this paper, a new method of event-triggered control for a sensor and actuator network is proposed. Event-triggered co... [more] IT2021-107 ISEC2021-72 WBS2021-75 RCC2021-82
pp.145-149
SS, MSS 2022-01-11
13:40
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Model Reduction of Boolean Networks Based on Graph Structure
Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-36 SS2021-23
A Boolean network (BN) is widely used as a mathematical model for control of gene regulatory networks. Since a gene regu... [more] MSS2021-36 SS2021-23
pp.29-34
SS, MSS 2022-01-11
14:05
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Design of Self-Triggered Reduced-Order Controllers of Probabilistic Boolean Networks Using Reinforcement Learning
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-37 SS2021-24
We consider the stabilization of Probabilistic Boolean Networks using reinforcement learning. Using reinforcement learni... [more] MSS2021-37 SS2021-24
pp.35-39
SS, MSS 2022-01-11
17:05
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Scalable Model Predictive Control of Energy Management Systems Based on Human Behavior Change
Shogo Shimamoto, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-43 SS2021-30
In this paper, we consider the incorporation of human decision making into an energy management system. Here, we conside... [more] MSS2021-43 SS2021-30
pp.70-73
MSS, CAS, IPSJ-AL [detail] 2021-11-19
11:45
Online Online Multi-Agent Surveillance Based on Travel Cost Minimization
Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-50 MSS2021-30
In this paper, we consider the surveillance problem by multiple agents. A surveillance area is modeled by a directed gra... [more] CAS2021-50 MSS2021-30
pp.76-79
SIP, CAS, VLD, MSS 2021-07-06
11:15
Online Online Pinning Stabilization of Probabilistic Boolean Networks Using Reinforcement Learning
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12
We consider the pinning stabilization of probabilistic Boolean networks using reinforcement learning. Using reinforcemen... [more] CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12
pp.60-63
SIP, CAS, VLD, MSS 2021-07-06
12:05
Online Online Sensor Scheduling-Based Detection of False Data Injection Attacks in Power System State Estimation
Sho Obata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-14 VLD2021-14 SIP2021-24 MSS2021-14
In state estimation of steady-state power networks, a cyber attack that cannot be detected from the residual (i.e., the ... [more] CAS2021-14 VLD2021-14 SIP2021-24 MSS2021-14
pp.70-74
NLP, MSS
(Joint)
2021-03-15
14:30
Online Online Design of Model Predictive-Based Demand Response Utilizing Price Information
Masafumi Murata, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2020-46
In this paper, we propose a method of demand response (DR) based on model predictive control. In the authors' previous m... [more] MSS2020-46
pp.14-17
NLP, MSS
(Joint)
2021-03-15
14:55
Online Online Control of Energy Management Systems via Human Decision-Making Models Using Markov Chains
Shogo Shimamoto, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-47
In this paper, we consider the incorporation of human decision making into an energy management system. Here, we conside... [more] MSS2020-47
pp.18-21
MSS, SS 2021-01-26
14:00
Online Online [Invited Talk] Blockchain-Based Distributed Optimization of Energy Management Systems -- Integration with Demand Response --
Daiki Ogawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-31 SS2020-16
In this paper, a blockchain-based distributed optimization method for energy management systems (EMSs) is studied. Using... [more] MSS2020-31 SS2020-16
pp.13-18
MSS, SS 2021-01-27
13:25
Online Online Distributed State Estimation for Linear Singular Systems and Its Application to Sensor Networks
Kei Isono, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-37 SS2020-22
The sensor attack detection problem is one of the important problems in cybersecurity and control theory. An attack to a... [more] MSS2020-37 SS2020-22
pp.49-53
MSS, CAS, IPSJ-AL [detail] 2020-11-26
15:50
Online Online Model Predictive Control of Energy Management Systems with Human Decision Making
Shogo Shimamoto, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2020-35 MSS2020-27
It is important to consider human decision making in order to control energy consumption. In this paper, we consider hum... [more] CAS2020-35 MSS2020-27
pp.91-95
MSS, CAS, SIP, VLD 2020-06-18
13:10
Online Online Simultaneous Design of Controllers and Decentralized Event-Triggering Conditions for Cyber-Physical Systems
Koichi Kobayashi, Kyohei Nakaima, Yuh Yamashita (Hokkaido Univ.) CAS2020-6 VLD2020-6 SIP2020-22 MSS2020-6
Event-triggered control is a control method that the control input is updated when the measured value is widely changed.... [more] CAS2020-6 VLD2020-6 SIP2020-22 MSS2020-6
pp.29-34
MSS, NLP
(Joint)
2020-03-10
15:20
Aichi  
(Cancelled but technical report was issued)
Design of Event-Triggered Quantized State Feedback Based on Uniformly Ultimate Boundedness
Shumpei Yoshikawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2019-66
The notion of uniformly ultimate boundedness (UUB) is that after the state reaches to a certain convex set, the state st... [more] MSS2019-66
pp.49-52
SS, MSS 2020-01-14
15:25
Hiroshima   Sensor Attack Detection in Control Systems Using Moving Horizon Estimation
Kei Isono, Koichi Kobayashi (Hokkaido Univ.), Ryosuke Adachi (Yamaguchi Univ.), Yuh Yamashita (Hokkaido Univ.) MSS2019-46 SS2019-30
The sensor attack detection problem in control systems is important in cybersecurity. In this paper, we propose a method... [more] MSS2019-46 SS2019-30
pp.31-36
NLP 2019-09-24
12:30
Kochi Eikokuji Campus, University of Kochi New formulation of optimal regulator problem for input-cost term with offsets
Yuh Yamashita, Yuta Sakai, Koichi Kobayashi (Hokkaido Univ.) NLP2019-55
An optimal control problem such that a desired state is different from the state at which input cost becomes zero, is il... [more] NLP2019-55
pp.105-108
MSS, CAS, SIP, VLD 2019-07-30
13:50
Iwate Iwate Univ. Blockchain-Based Distributed Optimization for Energy Management Systems
Daiki Ogawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2019-7 VLD2019-13 SIP2019-23 MSS2019-7
In this paper, a blockchain-based distributed optimization method for energy management systems (EMSs) is studied. ADMM ... [more] CAS2019-7 VLD2019-13 SIP2019-23 MSS2019-7
pp.31-36
MSS, SS 2019-01-15
10:50
Okinawa   Model Predictive Control of Dynamics in Power Consumption for Demand Response
Kenta Ohashi, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2018-55 SS2018-26
Demand response is a method of controlling electric equipments on the customer side according to the situation of power ... [more] MSS2018-55 SS2018-26
pp.7-12
MSS, SS 2019-01-15
11:15
Okinawa   Design of Demand Response Based on Event-Triggered Model Predictive Control
Kodai Miyazaki, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2018-56 SS2018-27
In design of energy management systems, aggregators such as retailers play the important role. One of the roles of aggre... [more] MSS2018-56 SS2018-27
pp.13-18
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