Title :
Design on fuzzy control for a class of stochastic nonlinear systems
Author :
Xiaojie Su ; Peng Shi ; Ligang Wu ; Karimi, Hamid Reza
Author_Institution :
Coll. of Autom., Chongqing Univ., Chongqing, China
Abstract :
The problem of Hankel-norm output feedback control is solved for a class of T-S fuzzy stochastic systems. The dynamic output feedback controller design technique is proposed by employing fuzzy-basis-dependent Lyapunov function approach and the conversion on the Hankel-norm controller parameters. Sufficient conditions are established to design the controllers such that the resulting closed-loop system is stochastically stable and satisfies a prescribed performance. The desired output feedback controller can be obtained by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.
Keywords :
Lyapunov methods; closed loop systems; control system synthesis; convex programming; feedback; fuzzy control; fuzzy systems; nonlinear control systems; stochastic systems; Hankel-norm controller parameters; Hankel-norm output feedback control; T-S fuzzy stochastic systems; closed-loop system; convex optimization problem; dynamic output feedback controller design technique; fuzzy control; fuzzy-basis-dependent Lyapunov function; stochastic nonlinear systems; stochastic stability; sufficient conditions; Closed loop systems; Control design; Educational institutions; Lyapunov methods; Nonlinear systems; Output feedback; Stochastic systems; Fuzzy systems; LMIs; Stochastic systems;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6858713