DocumentCode
2430047
Title
Practical stability issues in CMAC neural network control systems
Author
Chen, Fu Chuang ; Chang, Chih Horng
Author_Institution
Dept. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume
3
fYear
1994
fDate
29 June-1 July 1994
Firstpage
2945
Abstract
The CMAC neural network is a practical tool for improving existing nonlinear control systems. Although many researchers report that it has good performance, our results suggest that the CMAC control system can go unstable. The unstable phenomena are quantitatively studied, and some methods for improving the stability are suggested.
Keywords
cerebellar model arithmetic computers; neurocontrollers; nonlinear control systems; stability; CMAC neural network control systems; cerebellar model articulation controller; nonlinear control systems; stability; unstable phenomena; Control engineering; Control systems; Discrete event simulation; Error correction; Intelligent networks; Neural networks; Proportional control; Quantization; Robot control; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.735109
Filename
735109
Link To Document