Title :
Static output feedback strategy of stochastic Nash games for weakly-coupled large-scale systems
Author :
Mukaidani, H. ; Hua Xu ; Dragan, V.
Author_Institution :
Grad. Sch. of Educ., Hiroshima Univ., Higashi-Hiroshima, Japan
fDate :
June 30 2010-July 2 2010
Abstract :
This paper discusses the infinite horizon static output feedback Nash games for stochastic weakly-coupled large-scale systems with state-dependent noise. It is shown that the conditions for the existence of Nash equilibria depend on the solutions of a new set of cross-coupled stochastic algebraic Riccati equations (CSAREs). After establishing the asymptotic structure along with the positive semidefiniteness for the solutions of the CSAREs, a new sequential numerical algorithm and Newton´s method for solving the CSAREs are described. The resulting numerical solution is used to develop the Nash strategy. The efficiency of the proposed algorithm is demonstrated by solving a numerical example for a practical megawatt-frequency control problem.
Keywords :
Newton method; Riccati equations; feedback; game theory; large-scale systems; stochastic processes; Nash equilibria; Newton method; cross-coupled stochastic algebraic Riccati equations; infinite horizon static output feedback Nash games; megawatt-frequency control problem; sequential numerical algorithm; state-dependent noise; static output feedback strategy; stochastic Nash games; stochastic weakly-coupled large-scale systems; Control systems; Differential equations; Large-scale systems; Newton method; Nonlinear equations; Output feedback; Riccati equations; Stochastic processes; Stochastic resonance; Stochastic systems;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5530822