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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 94 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS
(Joint)
2019-03-14
15:10
Fukui Bunkyo Camp., Univ. of Fukui On Stability of Consensus Control of Discrete-time Multi-agent Systems by a Single Pinning Agent
Dongwu Xu, Toshimitsu Ushio (Osaka Univ.) MSS2018-87
In this report, we consider the consensus problem of discrete-time multi-agent systems with a pinning control method. We... [more] MSS2018-87
pp.35-38
NLP, MSS
(Joint)
2019-03-14
13:45
Fukui Bunkyo Camp., Univ. of Fukui Stabilization of Nonlinear Systems with Uncertain Input Delays Using Deep Reinforcement Learning
Junya Ikemoto, Toshimitsu Ushio (Osaka Univ) NLP2018-126
 [more] NLP2018-126
pp.13-16
MSS, SS 2019-01-15
13:05
Okinawa   A Study on Control Specifications Using LTL[F] for Supervisory Control
Ami Sakakibara, Toshimitsu Ushio (Osaka Univ.) MSS2018-58 SS2018-29
LTL[$ mathcal{F} $] is a quantitative extension of linear temporal logic, whose evaluations are based on how well a spec... [more] MSS2018-58 SS2018-29
pp.25-28
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
MSS, NLP
(Joint)
2018-03-12
13:10
Osaka   Design of Kalman Filter with Pseudo-measurements in Motion Control
Seita Yagi, Toshimitsu Ushio (Osaka Univ.), Kohei Fujita, Teruaki Tanaka (Mitsubishi Electric) MSS2017-77
In this report, we consider a motion control with unknown system parameters.
We design a Kalman filter with pseudo-meas... [more]
MSS2017-77
pp.1-4
MSS, NLP
(Joint)
2018-03-12
14:00
Osaka   Learning in Two-Player Matrix Games by Policy Gradient Lagging Anchor
Shiyao Ding, Toshimitsu Ushio (Osaka Univ.) MSS2017-79
We propose a novel multi-agent reinforcement learning (MARL) algorithm which is called a policy gra-
dient lagging anch... [more]
MSS2017-79
pp.11-14
MSS, NLP
(Joint)
2018-03-14
10:45
Osaka   Consensus Speed of Multi-agent Systems Modeled by Scale-free Graph
Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.) NLP2017-109
In a pinning consensus problem of multi-agent systems, a consensus speed of a static pinning control is generally bounde... [more] NLP2017-109
pp.43-46
SS, MSS 2018-01-19
15:05
Hiroshima   Application of M-Matrices to Stabilization of Composite Systems via Decentralized Event-Triggered Control
Kenichi Fukuda, Toshimitsu Ushio (Osaka Univ.) MSS2017-71 SS2017-58
A large-scale system consisting of many subsystems that have interaction each other is called a composite system. In gen... [more] MSS2017-71 SS2017-58
pp.139-142
CAS, MSS, IPSJ-AL [detail] 2017-11-16
17:00
Tokyo   [Invited Talk] Supervisory Control with Linear Temporal Logic Specifications
Ami Sakakibara, Toshimitsu Ushio (Osaka Univ.) CAS2017-50 MSS2017-34
 [more] CAS2017-50 MSS2017-34
pp.63-66
CAS, MSS, IPSJ-AL [detail] 2017-11-17
14:20
Tokyo   Hierarchical Reinforcement Learning of Stationary Policy Satisfying Linear Temporal Logic Constraints
Yuma Yamakura, Toshimitsu Ushio (Osaka Univ.) CAS2017-57 MSS2017-41
 [more] CAS2017-57 MSS2017-41
pp.117-122
MSS, SS 2017-01-27
14:50
Kyoto Kyoto Institute of Technology Optimal Taxi Cruising Problem Using Model Predictive Control
Masaki Hiromoto, Toshimitsu Ushio (Osaka Univ.), Akiyoshi Okamoto (Links Ware), Tomoaki Akiyoshi (Daimaru Taxi Co.) MSS2016-76 SS2016-55
 [more] MSS2016-76 SS2016-55
pp.113-116
MSS, SS 2017-01-27
15:20
Kyoto Kyoto Institute of Technology A Study on Effect of Zeros in Pinning Consensus of Multi-agent Systems
Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.) MSS2016-77 SS2016-56
In this study, we consider pinning control of a single agent for multi-agent systems. For multi-agent systems modeled by... [more] MSS2016-77 SS2016-56
pp.117-122
MSS, CAS, IPSJ-AL [detail] 2016-11-25
13:45
Hyogo Kobe Institute of Computing Detection of mode confusion in human machine systems using user models with time information.
Yoshiki Maeda, Toshimitsu Ushio (Osaka Univ.) CAS2016-75 MSS2016-55
To verify automation surprises in human-machine systems, methods using automaton models of dynamics for a user and a mac... [more] CAS2016-75 MSS2016-55
pp.109-112
NLP 2016-09-14
10:55
Hyogo Konan Univ. Development of a Quadrotor with Tilting Parallel Linked Body
Takumi Fukuda, Sakaguchi Akinori (Osaka Univ), Takimoto Takashi (NIT), Ushio Toshimitu (Osaka Univ) NLP2016-45
A quadrotor cannot hover in any attitude. We suggest a quadrotor with a tilting parallel linked body for improvement of ... [more] NLP2016-45
pp.5-8
SS, MSS 2016-01-26
09:15
Ishikawa Shiinoki-Geihin-Kan Distributed event-triggered output feedback control with minimal-order observer
Kohei Fujita, Toshimitsu Ushio (Osaka Univ.) MSS2015-53 SS2015-62
In this report, we consider a large-scale linear plant with physically distributed sensors and actuators communicating e... [more] MSS2015-53 SS2015-62
pp.105-108
SS, MSS 2016-01-26
09:40
Ishikawa Shiinoki-Geihin-Kan Optimal Control of Weighted Automata with Linear Temporal Logic Constraints
Ami Sakakibara, Sasinee Pruekprasert, Toshimitsu Ushio (Osaka Univ.) MSS2015-54 SS2015-63
We consider a weighted automaton, where each edge has a weight that represents the cost of the transition.
Its event s... [more]
MSS2015-54 SS2015-63
pp.109-112
SS, MSS 2016-01-26
10:05
Ishikawa Shiinoki-Geihin-Kan Application of reinforcement learning to output feedback networked control systems with network delay
Taishi Fujita, Toshimitsu Ushio (Osaka Univ.) MSS2015-55 SS2015-64
Thanks to the development of Internet technology, much attention has been paid to networked control systems (NCSs).
The... [more]
MSS2015-55 SS2015-64
pp.113-118
NLP 2015-03-03
15:25
Hyogo Hyogo Prefecture Citizens' Hall An Application of Reset Control in Nonlineaer Systems -- Reset control of Limit Cycles --
Masataka Iwai, Toshimitsu Ushio (Osaka Univ.) NLP2014-148
In a nonlinear system, nonlinear phenomena such Hopf bifurcation, frequency entrainments and jump phenomena occur by cha... [more] NLP2014-148
pp.27-31
MSS, SS 2015-01-26
15:25
Tottori   Approximate Simulation Based Verification of Automation Surprises in Human-machine Systems
Daiki Ishii, Toshimitsu Ushio (Osaka Univ.) MSS2014-73 SS2014-37
We consider a human-machine system where a user operates a machine by using a user interface. The user interface provide... [more] MSS2014-73 SS2014-37
pp.25-29
MSS, SS 2015-01-26
15:50
Tottori   Optimal Sampling for Kalman Filtering by Sensor Network Based on Energy Consumption and Information Entropy
Ken Imai, Toshimitsu Ushio (Osaka Univ.) MSS2014-74 SS2014-38
 [more] MSS2014-74 SS2014-38
pp.31-36
 Results 21 - 40 of 94 [Previous]  /  [Next]  
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