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 |