Adaptive design of a fuzzy cerebellar model arithmetic controller neural network
學年 93
學期 2
出版（發表）日期 2005-03-01
作品名稱 Adaptive design of a fuzzy cerebellar model arithmetic controller neural network
作品名稱（其他語言）
著者 Chen, J. Y.; Tsai, P. S.; 翁慶昌; Wong, Ching-chang
單位 淡江大學電機工程學系
出版者 Institution of Engineering and Technology (IET)
著錄名稱、卷期、頁數 IEE Proceedings-Control Theory & Applications 152(2), pp.133-137
摘要 Adaptation fuzzy cerebellar model arithmetic controller (CMAC) neural networks are considered. Adaptation mechanisms for a fuzzy CMAC neural network are proposed to enable the construction of indirect and direct control laws. These control laws are then used to enhance the robustness of a closed-loop control system. It is shown that the fuzzy CMACs can cope with the system's uncertainties using adaptation with no preliminary off-line learning phase being required. The adaptation laws are derived using a Lyapunov stability analysis, so that both system tracking stability and error convergence can be guaranteed in the closed-loop system. Simulation results from the two systems show a satisfactory performance of the proposed control schemes even in the presence of modelling uncertainties.
關鍵字
語言 en
ISSN 1350-2379
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度 否
國別 TWN
公開徵稿
出版型式 ,電子版
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