Title :
Observer-based fuzzy control design for discrete-time T-S fuzzy bilinear stochastic systems with infinite-distributed delays
Author :
Jiangrong Li ; Junmin Li ; Yu Li
Author_Institution :
Coll. of Math. & Comput. Sci., Yanan Univ., Yan´an, China
Abstract :
This paper is concerned with the problem of observer-based fuzzy control design for discrete-time T-S fuzzy bilinear stochastic systems with infinite-distributed delays. Based on the piecewise quadratic Lyapunov functional (PQLF), the fuzzy observer-based controllers are designed for T-S fuzzy bilinear stochastic systems. It is shown that the stability in the mean square for discrete T-S fuzzy bilinear stochastic systems can be established if there exists a set of PQLF which can be constructed and the fuzzy observer-based controller can be obtained by solving a set of nonlinear minimization problem involving linear matrix inequalities(LMIs) constraints. An iterative algorithm makes use of sequential linear programming matrix method (SLPMM) to derive a single-step LMI condition for fuzzy observer-based control design. Finally, an illustrative example is provided to demonstrate the effectiveness of the results proposed in this paper.
Keywords :
control system synthesis; delays; discrete time systems; distributed control; fuzzy control; iterative methods; linear matrix inequalities; linear programming; mean square error methods; minimisation; nonlinear control systems; observers; stability; stochastic systems; PQLF; SLPMM; discrete-time T-S fuzzy bilinear stochastic systems; infinite-distributed delays; iterative algorithm; linear matrix inequalities; mean square stability; nonlinear minimization problem; observer-based fuzzy control design; piecewise quadratic Lyapunov functional; sequential linear programming matrix method; single-step LMI condition; Delays; Fuzzy control; Linear matrix inequalities; Nonlinear systems; Observers; Stochastic systems;
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
DOI :
10.1109/ASCC.2013.6606220