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