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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SAT, MICT, WBS, RCC
(Joint) [detail]
2024-05-16
17:00
Miyazaki KITEN Convention hall (Miyazaki)
(Primary: On-site, Secondary: Online)
Lyapunov Function-Based Approach to Event-Triggered Control with Self-Triggered Sampling for Switched Linear Systems
Shota Nakayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.)
(To be available after the conference date) [more]
ITS, WBS, RCC 2023-12-21
15:40
Okinawa
(Primary: On-site, Secondary: Online)
A Common Lyapunov Function Approach to Event-Triggered Control with Self-Triggered Sampling for Switched Linear Systems
Shota Nakayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) WBS2023-43 ITS2023-26 RCC2023-37
In this paper, a common Lyapunov function approach to event-triggered control with self-triggered sampling for switched ... [more] WBS2023-43 ITS2023-26 RCC2023-37
pp.80-83
RCC, ITS, WBS 2022-12-13
14:45
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
[Invited Lecture] Cloud-mediated self-triggered control of a linear multi-agent system
Takumi Namba, Kiyotsugu Takaba (Ritsumeikan Univ.) WBS2022-37 ITS2022-13 RCC2022-37
In this presentation, we propose a self-triggered synchronization control method of a general high-order linear multi-ag... [more] WBS2022-37 ITS2022-13 RCC2022-37
pp.19-20
CAS, MSS, IPSJ-AL [detail] 2022-11-17
16:30
Kochi
(Primary: On-site, Secondary: Online)
Self-Triggered Distributed Optimization of Energy Management Systems with Demand Response
Genya Tamayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2022-46 MSS2022-29
Energy management system consists of multiple agents such as factories and buildings. In this paper, based on the concep... [more] CAS2022-46 MSS2022-29
pp.47-50
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
MSS, SS 2019-01-15
13:30
Okinawa   A design method of a self-triggered model predictive controller for linear discrete-time systems with noises
Fumito Tagashira, Toshimitsu Ushio (Osaka Univ.) MSS2018-59 SS2018-30
In self-triggered control, both the control input and the next update time are determined at every update time. So, the ... [more] MSS2018-59 SS2018-30
pp.29-32
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
NS, ASN, RCC, RCS, SR
(Joint)
2017-07-20
16:20
Hokkaido Hokkaido Univ. [Invited Talk] Systems and Control Theory for IoT/M2M
Koichi Kobayashi (Hokkaido Univ.) RCC2017-40 NS2017-61 RCS2017-132 SR2017-55 ASN2017-49
In this talk, we introduce researches related to IoT/M2M in the research field of systems and control theory. A control ... [more] RCC2017-40 NS2017-61 RCS2017-132 SR2017-55 ASN2017-49
pp.151-152(RCC), pp.165-166(NS), pp.205-206(RCS), pp.163-164(SR), pp.183-184(ASN)
RCC 2015-01-15
16:20
Aichi Nagoya University On Self-triggered and Event-triggered Model Predictive Control Based on Transmissions of Control Input Sequences
Koichi Kobayashi, Kunihiko Hiraishi (JAIST) RCC2014-73
In this paper, a new method for self-triggered and event-triggered model predictive control is proposed. In many existin... [more] RCC2014-73
pp.45-48
RCC
(2nd)
2013-11-21
14:25
Osaka Umeda Satellite(Graduate School for Creative Cities and Academic Ex Sparse Control for Energy Conservation
Masaaki Nagahara (Kyoto Univ.)
In this article, we consider sparsity-optimal control that minimizes the L0 norm of a continuous-time control signal. Th... [more]
MSS 2013-01-23
11:05
Osaka Osaka Int. Convention Center Self-Triggered Optimal Control of Linear Systems Focusing on Prediction Horizon One
Koichi Kobayashi, Kunihiko Hiraishi (JAIST) MSS2012-53
Self-triggered control is a control method that the control input and the sampling period are computed simultaneously in... [more] MSS2012-53
pp.45-48
MSS 2012-03-08
13:30
Tokyo JAIST Tokyo Satellite Self-triggered predictive control considering activation costs of controller
Shogo Nakao, Toshimitsu Ushio (Osaka Univ.) MSS2011-72
Recently, controllers are implemented on digital platforms as time-triggered tasks due to development of microprocessor ... [more] MSS2011-72
pp.1-4
 Results 1 - 12 of 12  /   
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