Title :
Delay-dependent fuzzy controller design for stabilization of nonlinear systems with multiple non-commensurate time delays
Author_Institution :
Dept. of Electron. Eng., Nat. Formosa Univ., Huwei, Taiwan
Abstract :
In this paper, the T-S fuzzy model approach is extended to design fuzzy controllers for the stabilizability of nonlinear systems with multiple non-commensurate time delays. Three types of fuzzy controllers are state feedback, observer-based state feedback, and output feedback fuzzy controller with time delay information. Based on the concept of the parallel distributed compensation (PDC) and the delay-dependent Lyapunov functional approach, some control design methods are proposed to stabilize the whole fuzzy time-delay system asymptotically. These design approaches are all dependent on time delays. By Schur complement, these sufficient conditions can be easily transformed into the problem of LMI´s. The practical example based on the CSTR (continuous stirred tank reactor) model is given to illustrate the control designs and their effectiveness.
Keywords :
Lyapunov matrix equations; asymptotic stability; compensation; control system synthesis; delay systems; fuzzy control; linear matrix inequalities; nonlinear control systems; state feedback; Schur complement; T-S fuzzy model approach; asymptotic stability; continuous stirred tank reactor model; control design method; delay-dependent Lyapunov functional approach; delay-dependent fuzzy controller design; fuzzy time-delay system; linear matrix inequalities; noncommensurate time delays; nonlinear system stabilizability; nonlinear system stabilization; observer-based state feedback; output feedback fuzzy controller; parallel distributed compensation; Continuous-stirred tank reactor; Control design; Control systems; Delay effects; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Output feedback; State feedback; Delay-dependent; Schur complement; T-S fuzzy model; linear matrix inequalities (LMI´s); output feedback;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277252