Title :
Control of nonlinear systems using a Fuzzy Neural Network
Author :
Lee, Ching-Hong ; Teng, Ching-Cheng
Author_Institution :
Dept. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
In this paper we present a fuzzy neural network (FNN) for controlling single-input single-output nonlinear affine system. The proposed fuzzy neural network controller feedback linearizes the nonlinear control system. The tracking performance is achieved by a state feedback controller based on the fuzzy neural network, even though the nonlinear system is unknown
Keywords :
fuzzy neural nets; nonlinear control systems; state feedback; fuzzy neural network; nonlinear control system; nonlinear systems; single-input single-output nonlinear affine system; state feedback controller; tracking performance; Control systems; Fuzzy control; Fuzzy neural networks; Linear feedback control systems; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear systems; Stability analysis; State feedback;
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
DOI :
10.1109/AFSS.1996.583554
