Title :
Neural fuzzy architecture for adaptive control
Author :
Pavel, L. ; Chelaru, M.
Author_Institution :
Inst. for Comput. Sci., Iasi, Romania
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;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258715
