Adaptive control for nonlinear systems using decomposed neural network

Cybernetics and Systems

Volumn 29, Issue 1, 1998, Pages 73-83

  Wang, Jin ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CONTROL NONLINEARITIES; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; LINEARIZATION; NONLINEAR CONTROL SYSTEMS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; UNCERTAIN SYSTEMS;

DECOMPOSED NEURAL NETWORK; MINIMUM VARIANCE PREDICTIVE CONTROLLER; RECURSIVE LEAST SQUARES ALGORITHM;

NEURAL NETWORKS;

EID: 0031629810     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/019697298125858     Document Type: Article

References (7)

1. Ahmed, M. S., and I. A. Tasadduq. 1994. Neural-net controller for nonlinear plants: Design approach through linearisation. IEE Proc. Control Theory 141:315-322.
2. Antsaklis, P., ed. 1990. Special issue on neural network in control systems. IEEE Control Syst. Mag. 10:3-87.
3. Chao-Chee, K., and Y. L. Kwang. 1994. Diagonal recurrent neural networks for dynamic systems control. IEEE Trans. Neural Networks 6:144-156.
4. Duwaish, K. 1996. Use of multilayer feedforward neural networks in identification and control of Wiener model. IEE Proc. D 143:255-258.
5. Narendra, K. S., and K. Parthasarathy. 1990. Identification and control of dynamic systems using neural networks. IEEE Trans. Neural Networks 1:4-26.
6. Psaltis, D., A. Sideris, and A. A. Yamamura. 1988. A multilayered neural network control. IEEE Control Syst. Mag. 8:17-21.
7. Wang, J., and G. Wenzhong. 1997. Adaptive pole placement control algorithm for nonlinear systems. Int. J. Uncertainty Fuzziness Knowledge-Based Syst. 5:139-146.