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: Article同行評審

68 引文 斯高帕斯(Scopus)

摘要

The cerebellar model articulation controller (CMAC) neural network is a practical tool for improving existing nonlinear control systems. A typical simulation study is used to clearly demonstrate that the CMAC can effectively reduce tracking error, but can also destabilize a control system which is otherwise stable. Then quantitative studies are presented to search for the cause of instability in the CMAC control system. Based on these studies, methods are discussed to improve system stability. Experimental results on controlling a real world system are provided to support the findings in simulations.

原文English
文章編號481771
頁(從 - 到)86-91
頁數6
期刊IEEE Transactions on Control Systems Technology
4
發行號1
DOIs
出版狀態Published - 1月 1996

指紋

深入研究「Practical stability issues in CMAC neural network control systems」主題。共同形成了獨特的指紋。

引用此