DocumentCode :
1687782
Title :
Adaptive control of nonlinear dynamical systems by neural network method
Author :
Wang, Zheng-Zhi ; Hu, De-Wen
Author_Institution :
Dept. of Automatic Control, Changsha Inst. of Technol., Hunan, China
fYear :
1992
Firstpage :
251
Abstract :
In this paper, the authors propose a complete new method to solve the control problems of nonlinear dynamical systems by a self-organizing neural networks method. They also propose a new neural network adaptive control method, which is different to STR and MARC, but with their advantages, and can deal with more general control problems of nonlinear dynamical systems. Several computer simulation examples verify the correctness and practicality of this method
Keywords :
adaptive control; control system synthesis; neural nets; nonlinear control systems; self-adjusting systems; adaptive control; computer simulation; control system synthesis; neural network; nonlinear dynamical systems; self-organizing; Adaptive control; Automatic control; Biological neural networks; Control systems; Linear approximation; Neural networks; Neurons; Nonlinear control systems; Nonlinear dynamical systems; Organizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
Type :
conf
DOI :
10.1109/ISIE.1992.279576
Filename :
279576
Link To Document :
بازگشت