Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
MSS, SS |
2019-01-15 13:55 |
Okinawa |
|
Multi-Agent Monitoring with Fuel Constraints over Graphs Ryo Masuda, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2018-60 SS2018-31 |
The multi-agent monitoring (surveillance) problem over graphs is to find trajectories of multiple agents that travel eac... [more] |
MSS2018-60 SS2018-31 pp.33-36 |
WBS, ITS, RCC |
2018-12-06 13:00 |
Okinawa |
Miyako Island Hirara Port Terminal Bldg. |
[Poster Presentation]
Belief Propagation Analysis for Synchronization over Sensor Network Ryosuke Adachi, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) WBS2018-52 ITS2018-35 RCC2018-83 |
In this paper, distributed estimation method with optimal aggregation based on belief propagation is proposed. In the se... [more] |
WBS2018-52 ITS2018-35 RCC2018-83 pp.135-139 |
CAS, SIP, MSS, VLD |
2018-06-14 10:00 |
Hokkaido |
Hokkaido Univ. (Frontier Research in Applied Sciences Build.) |
Self-Triggered Predictive Pinning Control for Consensus of Multi-Agent Systems Shun Andoh, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2018-4 VLD2018-7 SIP2018-24 MSS2018-4 |
Pinning control of multi-agent systems is a method that the external control input is added to some agents (pinning node... [more] |
CAS2018-4 VLD2018-7 SIP2018-24 MSS2018-4 pp.17-21 |