DocumentCode
306970
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
Volume
3
fYear
1996
fDate
11-13 Dec 1996
Firstpage
2729
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location
Kobe
ISSN
0191-2216
Print_ISBN
0-7803-3590-2
Type
conf
DOI
10.1109/CDC.1996.573519
Filename
573519
Link To Document