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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 71 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
RECONF 2018-09-18
13:45
Fukuoka LINE Fukuoka Cafe Space
Yuji Yamashita, Kubota Atsushi, Kazuya Tanigawa, Tetsuo Hironaka (Hiroshima City Univ.) RECONF2018-30
 [more] RECONF2018-30
pp.61-66
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
EE 2017-01-27
10:30
Nagasaki Nagasaki University Derivation of Transfer Function of LLC Current Resonant Converter Using Numerical Computation
Yusuke Yamashita, Jun Imaoka, Masahito Shoyama (Kyushu Univ.), Yu Yonezawa, Yoshiyasu Nakashima (Fujitsu lab) EE2016-79
 [more] EE2016-79
pp.163-168
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
MICT, RCC 2016-05-13
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Periodic Model Predictive Control for Multi-Hop Control Networks
Dai Satoh, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2016-4 MICT2016-4
In this paper, a new method of model predictive control (MPC) for a multi-hop control network (MHCN) is proposed. An MHC... [more] RCC2016-4 MICT2016-4
pp.17-22
RCC 2016-01-29
11:10
Osaka Kansai University Umekita Laboratory Decentralized Suboptimal Event-triggered Control for Discrete-time Linear Systems
Kyohei Nakajima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2015-88
In this paper, we propose a decentralized event-triggered control method for discrete-time linear systems. In the case w... [more] RCC2015-88
pp.13-16
RCS 2015-06-25
10:45
Hokkaido Hokkaido Univ. Performance Comparison of Coded OFDM with and without DFT-Precoding with Memoryless Nonlinearity
Yusaku Yamashita, Hideki Ochiai (YNU) RCS2015-70
OFDM system has been adopted by many wireless standards due to its robustness against frequen- cy-selective fading chann... [more] RCS2015-70
pp.143-148
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
09:30
Tokyo   Simultaneous training of multi-class object detectors via large scale image dataset -- introduction of target specific negative classes --
Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Tatsuya Harada, Yasuo Kuniyoshi (Univ. Tokyo) PRMU2012-42 IBISML2012-25
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The ... [more] PRMU2012-42 IBISML2012-25
pp.105-112
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