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).

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...

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...

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...

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...

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 ...

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...

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...