標題: Practical stability issues in CMAC neural network control systems
作者: Chen, FC
Chang, CH
交大名義發表
電控工程研究所
National Chiao Tung University
Institute of Electrical and Control Engineering
公開日期: 1-一月-1996
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.
URI: http://dx.doi.org/10.1109/87.481771
http://hdl.handle.net/11536/1523
ISSN: 1063-6536
DOI: 10.1109/87.481771
期刊: IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume: 4
Issue: 1
起始頁: 86
結束頁: 91
顯示於類別:期刊論文


文件中的檔案:

  1. A1996TQ67000012.pdf