Title :
Soft-constrained stochastic Nash games for multimodeling systems via static output feedback strategy
Author :
Mukaidani, Hiroaki ; Xu, Hua ; Dragan, Vasile
Author_Institution :
Grad. Sch. of Educ., Hiroshima Univ., Higashi-Hiroshima, Japan
Abstract :
In this paper, we discuss infinite-horizon soft-constrained stochastic Nash games involving state-dependent noise in multimodeling systems (SMS) via static output feedback strategy. First, we derive the conditions for the existence of robust equilibria that have been derived based on the solutions of sets of cross-coupled stochastic algebraic Riccati equations (CSAREs). After establishing an asymptotic structure along with positive definiteness for cross-coupled stochastic multimodeling algebraic Riccati equations (CSMAREs) solutions, we propose a parameter independent strategy. The numerical example for a multimachine power system is given to demonstrate the efficiency and feasibility of the proposed algorithm.
Keywords :
Riccati equations; feedback; game theory; stochastic systems; cross-coupled stochastic algebraic Riccati equations; infinite horizon; multimachine power system; parameter independent strategy; soft-constrained stochastic Nash games; static output feedback; stochastic multimodeling systems; Educational technology; Game theory; Noise robustness; Output feedback; Power systems; Riccati equations; Steady-state; Stochastic processes; Stochastic resonance; Stochastic systems;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400302