Practical stability issues in CMAC neural network control systems

Fu-Chuang Chen*, Chih Horng Chang

*此作品的通信作者

研究成果: Conference article同行評審

2 引文 斯高帕斯(Scopus)

摘要

The CMAC neural network is a practical tool for improving existing nonlinear control systems. Although many researchers report that it have good performance, our results suggest that the CMAC control system can go unstable. The unstable phenomena are quantitatively studied, and some methods for improving stability are suggested.

原文English
文章編號735109
頁(從 - 到)2945-2946
頁數2
期刊Proceedings of the American Control Conference
3
DOIs
出版狀態Published - 29 6月 1994
事件Proceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA
持續時間: 29 6月 19941 7月 1994

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