Title :
On fuzzy control of nonlinear systems with large parameter uncertainties: fuzzy scheduler approach
Author :
Lam, H.K. ; Leung, F.H.F. ; Tam, P.K.S.
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
Abstract :
This paper presents the design of a fuzzy scheduler which is robust enough to (1) stabilize an uncertain nonlinear system subject to large parameter uncertainties, and (2), give an acceptable closed-loop performance. Based on a fuzzy model with parameter uncertainty information, a stability criterion which involves solving an algebraic Riccati equation (ARE) is derived, and fuzzy controllers corresponding to the vertices of the operation parameter space (vertex fuzzy controllers) are designed. It is shown that the actual control signal can be interpolated by a proposed fuzzy scheduler from the control signals of vertex fuzzy controllers
Keywords :
Riccati equations; control system synthesis; fuzzy control; nonlinear equations; nonlinear systems; robust control; scheduling; uncertain systems; algebraic Riccati equation; closed-loop performance; control signal interpolation; fuzzy control; fuzzy scheduler approach; nonlinear systems; operation parameter space; parameter uncertainties; stability criterion; uncertain nonlinear system stabilisation; vertex fuzzy controllers; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Riccati equations; Stability criteria; Uncertain systems; Uncertainty;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3932-0
DOI :
10.1109/IECON.1997.671078
