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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 16:35 |
Online | Online | [Invited Talk]
Optimal Control of Multi-Agent Systems: Surveillance Problem and Vehicle Platooning Koichi Kobayashi (Hokkaido Univ.) RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 |
In this talk, our results on control of multi-agent systems are introduced. First, the surveillance problem is introduce... [more] | RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 p.36(RCC), p.38(NS), p.38(RCS), p.41(SR), p.20(SeMI) |
| 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] | 2020-11-25 17:25 |
Online | Online | Data-Driven Optimal Reconstruction of Boolean Networks with Noisy Dynamics Koichi Kobayashi (Hokkaido Univ.), Yuhu Wu (Dalian Univ. of Tech.) CAS2020-25 MSS2020-17 |
A Boolean network is a mathematical model that the dynamics are represented by Boolean functions. In this paper, a metho... [more] | CAS2020-25 MSS2020-17 pp.34-39 |
| 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 |
|
| CAS, MSS, IPSJ-AL [detail] | 2019-11-29 13:50 |
Fukuoka | Dynamical Transportation over Graph By Using ADMM Ryosuke Adachi, Yuji Wakasa (Yamaguchi Univ.), Koichi Kobayashi (Hokkaido Univ) CAS2019-60 MSS2019-39 |
[more] | CAS2019-60 MSS2019-39 pp.117-120 |
|
| RCC, ITS, WBS | 2019-11-06 11:00 |
Nara | Nara Institute of Science and Technology | [Poster Presentation]
Diagnosis of Demand Response Participants Shun-ichi Azuma, Daisuke Sato (Nagoya University), Koichi Kobayashi (HU), Nobuyuki Yamaguchi (TUS) WBS2019-26 ITS2019-17 RCC2019-57 |
[more] | WBS2019-26 ITS2019-17 RCC2019-57 pp.19-20 |
| MIKA (2nd) |
2019-10-04 11:45 |
Hokkaido | Hokkaido Univ. | [Invited Lecture]
Event-Triggered Control over Sensor Networks
-- LMI-Based Approach -- Koichi Kobayashi (Hokkaido Univ.) |
[more] | |
| 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 |
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