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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
RCC, MICT 2018-05-24
13:00
Tokyo Tokyo Big Sight [Poster Presentation] Model Predictive Control of Multi-Hop Control Networks with Disturbances
Dai Satoh, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2018-14 MICT2018-14
In this paper, an approximate solution method of model predictive control (MPC) for a multi-hop control network (MHCN) i... [more] RCC2018-14 MICT2018-14
pp.67-71
NLP 2018-04-26
16:25
Kumamoto Kumaoto Univ. Construction Methods of Probabilistic Boolean Networks Based on Imperfect Information
Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) NLP2018-11
A probabilistic Boolean network (PBN) is one of the mathematical models of gene regulatory networks. In a Boolean networ... [more] NLP2018-11
pp.49-52
MSS, NLP
(Joint)
2018-03-13
16:10
Osaka   Synchronous/Asynchronous Decentralized Event-Triggered Control for Cyber-Physical Systems
Kyohei Nakajima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2017-87
In control of cyber-physical systems, it is important to achieve both a low communication load and a high control perfor... [more] MSS2017-87
pp.53-56
RCC 2017-01-27
14:20
Kanagawa NICT (YRP) Asynchronous Control of Networked Control Systems with Decentralized Event-Triggering Conditions
Kyohei Nakajima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2016-70
In this paper, we propose an asynchronous control method with decentralized event-triggering conditions for discrete-tim... [more] RCC2016-70
pp.31-34
WBS, RCC, ITS 2016-12-01
15:30
Kagawa Sunport Hall Takamatsu Simultaneous Optimization of Control and Routing for Sensor and Actuator Networks
Dai Satoh, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) WBS2016-63 ITS2016-30 RCC2016-52
A wireless sensor and actuator network (WSAN) is a class of networked control systems. In WSANs, sensors and actuators a... [more] WBS2016-63 ITS2016-30 RCC2016-52
pp.89-93
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