Mukaidani Hiroaki

J-GLOBAL         Last updated: Aug 24, 2019 at 02:50
 
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Name
Mukaidani Hiroaki
E-mail
mukaidahiroshima-u.ac.jp
Affiliation
Hiroshima University
Job title
教授
Degree
Dr. Eng. (Ph.D.)(Hiroshima University), Master of Engineering(Hiroshima University)
Research funding number
70305788

Profile

Hiroaki Mukaidani received his B.S. in Integrated Arts and Sciences from Hiroshima University in 1992 and his M.Eng. and Dr.Eng. degrees in Information Engineering form Hiroshima University in 1994 and 1997, respectively. In April 1998, he joined the Faculty of Information Science at Hiroshima City University as a Research Associate. Since April 2002, he has been with the Graduate School of Education at Hiroshima University as an Assistant Professor and Associate Professor. He became a Full Professor at the Institute of Engineering at Hiroshima University in April 2012. He spent 10 months (from November 2007 to September 2008) as a research fellow at the Department of Electrical and Computer Engineering (ECE), University of Waterloo. His research interests include robust control, dynamic games, and the application of stochastic systems. Dr. Mukaidani is a member of the Institute of Electrical and Electronic Engineers (IEEE).

Research Areas

 
 

Academic & Professional Experience

 
Apr 1998
 - 
Mar 2002
Research Associate, Faculty of Information Sciences, Department of Information Machines & Interfaces, Hiroshima City University
 
Apr 2002
 - 
Mar 2005
Lecture, Graduate School of Education, Department of Technology and Information Education, Hiroshima University
 
Apr 2005
 - 
Mar 2007
Associate Professor, Graduate School of Education, Department of Technology and Information Education, Hiroshima University
 
Apr 2007
 - 
Mar 2012
Associate Professor, Graduate School of Education, Department of Technology and Information Education, Hiroshima University
 

Education

 
Apr 1994
 - 
Oct 1997
Information Sciences, Graduate School of Engineering, Hiroshima University
 
Apr 1988
 - 
Mar 1992
Faculty of Integrated Arts and Sciences, Hiroshima University
 

Published Papers

 
H∞ Constraint Pareto Suboptimal Static Output Feedback Strategy for Uncertain Markov Jump Linear Stochastic Systems
Hiroaki Mukaidani and Hua
Proceedings of the American Control Conference      Jul 2019   [Refereed]
This paper considers H1 constraint Pareto suboptimal control problems for a class of uncertain Markov jump linear stochastic systems (UMJLSSs) via static output feedback (SOF). The conditions for existence of a Pareto suboptimal strategy set are d...
Mukaidani, Hiroaki; Xu, Hua
IEEE TRANSACTIONS ON CYBERNETICS   49(4) 1463-1474   Apr 2019   [Refereed]
In this paper, incentive Stackelberg games with one leader and multiple followers are investigated for a class of stochastic linear systems with external disturbance. Unlike the existing ordinary Stackelberg games, the leader is required to design...
Robust Incentive Stackelberg Games for Stochastic LPV Systems
Hiroaki Mukaidani and Hua Xu
Proceedings of the 57th IEEE Conference on Decision and Control   1059-1064   Dec 2018   [Refereed]
Robust incentive Stackelberg games for stochastic linear parameter-varying (LPV) systems with multiple decision makers are investigated. After the establishment of the modified stochastic bounded real lemma, the linear quadratic control (LQC) for ...
Static-Output Feedback Stackelberg Strategy of Infinite Horizon Markov Jump Linear Stochastic Systems with H∞ Constraint
Hiroaki Mukaidani, Hua Xu and Vasile Dragan
Proceedings of the 57th IEEE Conference on Decision and Control   1935-1940   Dec 2018   [Refereed]
In this paper, a static output feedback (SOF) Stackelberg strategy for continuous-time Markov jump linear stochastic systems (MJLSSs) governed by an Ito differential equation with H-infinity constraints involving multiple decision makers is invest...
Hiroaki Mukaidani , Hua Xu, and Vasile Dragan
IEEE Control Systems Letters   2(4) 701-706   Oct 2018   [Refereed]
This letter investigates an infinite-horizon incentive Stackelberg game for discrete-time linear stochastic systems subject to Markov jump parameters and external disturbance by means of static outputfeedback (SOF). In contrast to the existing stu...

Books etc

 
Hiroaki, Mukaidani; Tetsu, Shimomura; Hua, Xu (Part:Joint Editor, pp.359-371)
Springer   2003   ISBN:978-3-642-05618-5
We study linear quadratic Nash games for infinite horizon multiparameter singularly perturbed systems (MSPS). We propose a new algorithm which is based on the Kleinman algorithm for solving the generalized cross-coupled multiparameter algebraic Ri...
Mukaidani, Hiroaki; Xu, Hua; Mizukami, Koichi (Part:Joint Editor, pp.545-507)
Birkhauser   2005   ISBN:978-0-8176-4362-1
In this paper, we study the linear quadratic Nash games for infinite horizon singularly perturbed systems (SPS). In order to solve the generalized algebraic Lyapunov equation (GALE) corresponding to the generalized Lyapunov iterations, we propose ...
Mukaidani, Hiroaki; Ishii, Yasuhisa; Tanaka, Yoshiyuki; Tsuji, Toshio (Part:Joint Editor, pp.387-406)
Nova Science Publishers, Inc.   2011   ISBN:978-1-60876-500-3
This paper provides a novel design method in the case of an output feedback suboptimal control problem for a class of uncertain discrete-time system using additive gain perturbations. Based on the linear matrix inequality (LMI), a class of the fix...
Mukaidani, Hiroaki; Dragan, Vasile (Part:Joint Editor, pp.407-424)
Nova Science Publishers, Inc.   2011   ISBN:978-1-60876-500-3
In this paper, the linear quadratic infinite horizon Nash games for large-scale singularly perturbed stochastic systems (LSPSS) are studied. After establishing the local uniqueness and the asymptotic structure of the solutions to the cross-coupled...
Hiroaki Mukaidani, Hua Xu and Vasile Dragan (Part:Joint Editor, 207-227)
Springer   Feb 2016   ISBN:978-3319263670
Dynamic games for a class of linear time-delay systems with Markovian jumping parameters are investigated. Both Nash games and Pareto optimization problems are considered for systems in which controls-dependent noise is included. Sufficient condit...

Conference Activities & Talks

 
Robust Nash Equilibrium Strategy for Uncertain Markov Jump Linear Stochastic Systems [Invited]
Hiroaki Mukaidani
Meeting on System Theory in Shandong University of Science and Technology   26 Sep 2017   College of Electrical Engineering and Automation, Shandong University of Science and Technology,
In this seminar, a novel delta-neighborhood robust Nash equilibrium strategy with disturbance attenuation for uncertain Markov jump linear stochastic systems (UMJLSSs) involving multiple decision makers is investigated. The Stackelberg game concep...