Improved CMAC neural network control scheme

C. C. Lin; Fu-Chuang Chen

doi:10.1049/el:19990083

Improved CMAC neural network control scheme

C. C. Lin^*, Fu-Chuang Chen

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

The cerebellar model articulation controller (CMAC) neural network control scheme is a powerful tool for practical real-time nonlinear control applications. However, despite its initial outstanding performance, the CMAC control system can suddenly diverge after a long period of stable tracking. The authors propose a modification to the CMAC control scheme in order to improve stability while preserving the original good performance.

Original language	English
Pages (from-to)	157-158
Number of pages	2
Journal	Electronics Letters
Volume	35
Issue number	2
DOIs	https://doi.org/10.1049/el:19990083
State	Published - 21 Jan 1999

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title = "Improved CMAC neural network control scheme",

abstract = "The cerebellar model articulation controller (CMAC) neural network control scheme is a powerful tool for practical real-time nonlinear control applications. However, despite its initial outstanding performance, the CMAC control system can suddenly diverge after a long period of stable tracking. The authors propose a modification to the CMAC control scheme in order to improve stability while preserving the original good performance.",

author = "Lin, {C. C.} and Fu-Chuang Chen",

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AB - The cerebellar model articulation controller (CMAC) neural network control scheme is a powerful tool for practical real-time nonlinear control applications. However, despite its initial outstanding performance, the CMAC control system can suddenly diverge after a long period of stable tracking. The authors propose a modification to the CMAC control scheme in order to improve stability while preserving the original good performance.

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Improved CMAC neural network control scheme

Abstract

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