Title :
Design and stability analysis of adaptive-fuzzy controllers for a class of nonlinear systems
Author :
Commuri, S. ; Lewis, F.L.
Author_Institution :
CGN & Assoc. Inc., Peoria, IL, USA
Abstract :
This paper presents a methodology for the design of fuzzy logic controllers that guarantees prescribed performance for a class of nonlinear systems. It is shown that the proposed online learning algorithm learns the stabilizing membership functions (MFs) online from initial MFs that are selected using simple design criteria
Keywords :
adaptive control; control system synthesis; function approximation; fuzzy control; fuzzy logic; learning systems; nonlinear systems; real-time systems; stability; adaptive control; design criteria; function approximation; fuzzy control; fuzzy logic; membership functions; nonlinear systems; online learning algorithm; stability analysis; Automatic control; Control systems; Design methodology; Function approximation; Fuzzy logic; Lifting equipment; Nonlinear control systems; Nonlinear systems; Robotics and automation; Stability analysis;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.573519
