Intelligent Switching Adaptive control for Uncertain Nonlinear Dynamical Systems
學年 104
學期 1
出版（發表）日期 2015-09-01
作品名稱 Intelligent Switching Adaptive control for Uncertain Nonlinear Dynamical Systems
作品名稱（其他語言）
著者 I.H. Li; L.W. Lee; H.H. Chiang
單位
出版者
著錄名稱、卷期、頁數 Applied Soft Computing 34, p.638-654
摘要 In this paper, we aim at proposing a switching adaptive control scheme using a Hopfield-based dynamic neural network (SACHNN) for nonlinear systems with external disturbances. In our proposed scheme, an auxiliary direct adaptive controller (DAC) ensures the system stability when the indirect adaptive controller (IAC) is failed; that is, approaches to zero, where is the denominator of an indirect adaptive control law. The IAC's limitation of then can be solved by simply switching the IAC to the DAC, where ɛ is a positive desired value. The Hopfield dynamic neural network (HDNN) is used to not only design DAC but also approximate the unknown plant nonlinearities in IAC design. The designed simple structure of HDNN keeps the tracking performance well and also makes the practical implementation much easier because of the use of less and fixed number of neurons.
關鍵字 Hopfield dynamic neural network;Adaptive control;Switching control
語言 en
ISSN
期刊性質 國內
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 BES
公開徵稿
出版型式 ,電子版
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