Title :
Stochastic H∞ control problem with state-dependent noise for multimodeling systems
Author :
Mukaidani, Hiroaki ; Dragan, Vasile
Author_Institution :
Grad. Sch. of Educ., Hiroshima Univ., Higashi-Hirosihima, Japan
Abstract :
In this paper, stochastic Hinfin state feedback control with state-dependent noise for multimodeling systems is addressed. After establishing the asymptotic structure of the stochastic multi-modeling algebraic Riccati equation (SMARE), an iterative algorithm that is based on Newton´s method is established. A high-order state feedback controller by means of the obtained iterative solution is given and the degradation of the Hinfin performance is investigated for the stochastic case for the first time. Finally, in order to demonstrate the efficiency of the proposed algorithm, numerical example is given for practical megawatt-frequency control problem.
Keywords :
Hinfin control; Newton method; Riccati equations; state feedback; stochastic systems; Newton method; asymptotic structure; high-order state feedback controller; iterative algorithm; practical megawatt-frequency control problem; state-dependent noise; stochastic Hinfin control; stochastic multimodeling algebraic Riccati equation; Control systems; Degradation; Iterative algorithms; Newton method; Riccati equations; State feedback; Stochastic processes; Stochastic resonance; Stochastic systems; Uncertainty;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160059