DocumentCode
3452206
Title
Neural fuzzy architecture for adaptive control
Author
Pavel, L. ; Chelaru, M.
Author_Institution
Inst. for Comput. Sci., Iasi, Romania
fYear
1992
fDate
8-12 Mar 1992
Firstpage
1115
Lastpage
1122
Abstract
The authors address the tracking control of linear and nonlinear systems with unknown dynamics. A self-tuning neural fuzzy adaptive control architecture, based on M. Sugeno´s model for fuzzy systems (1985) and on the use of feedforward neural networks is proposed. The control loop is described. Then, the adaptive neural version of the Sugeno model for fuzzy inference systems, inserted in this loop, is presented. The algorithm was simulated and tested for discrete-time linear and nonlinear systems
Keywords
adaptive control; feedforward neural nets; fuzzy control; inference mechanisms; parallel architectures; self-adjusting systems; discrete-time systems; feedforward neural networks; fuzzy inference systems; linear systems; nonlinear systems; self-tuning neural fuzzy adaptive control architecture; tracking control; unknown dynamics; Adaptive control; Control systems; Feedforward neural networks; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Inference algorithms; Neural networks; Nonlinear control systems; Nonlinear systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-7803-0236-2
Type
conf
DOI
10.1109/FUZZY.1992.258715
Filename
258715
Link To Document