Title :
Fuzzy controller design via hyperstability approach
Author :
Wang, Liang ; Langari, Reza
Author_Institution :
Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper presents a systematic procedure of designing fuzzy controllers for a class of nonlinear systems. The main scheme is to reduce the nonlinear model to a linear model by introducing a reference signal or model, and then design a controller to satisfy the desired control objective by means of Popov´s hyperstability theory
Keywords :
asymptotic stability; control system synthesis; feedback; fuzzy control; nonlinear systems; Popov´s hyperstability theory; design; feedback system; fuzzy controller; linear model; nonlinear systems; reference signal; Control systems; Feedback; Fuzzy control; Fuzzy systems; Integral equations; Linear matrix inequalities; Robust stability; Symmetric matrices; Time varying systems; Transfer functions;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343696
