Title :
A fuzzy-neural controller for nonlinear dynamic systems
Author :
El-Kabbany, G.F. ; Sultan, M.A. ; Hegazi, N.E.
Author_Institution :
Electron. Res. Inst., Giza, Egypt
fDate :
27 Jun-2 Jul 1994
Abstract :
This paper discusses the possibility of combining the concept of indirect adaptive control and fuzzy logic control with backpropagation neural networks to control nonlinear dynamic systems. Here the neural network was used as an identifier, the indirect adaptive control concept was applied to control the system, and finally the fuzzy logic control technique was used to improve the controller performance. Simulation results show the application of the control scheme to two nonlinear systems of different types of nonlinearity
Keywords :
adaptive control; backpropagation; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; backpropagation neural networks; fuzzy logic control; fuzzy-neural controller; identifier; indirect adaptive control; nonlinear dynamic systems; Adaptive control; Artificial neural networks; Automatic control; Communication system control; Control systems; Fuzzy logic; Linear systems; Neural networks; Nonlinear control systems; Nonlinear systems;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374412
