Intelligent switching adaptive control for uncertain nonlinear dynamical systems

I. Hsum Li, Lian Wang Lee*, Hsin Han Chiang, Pin Cheng Chen

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

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, g(x) approaches to zero, where g(x) is the denominator of an indirect adaptive control law. The IAC's limitation of g(x)>ε then can be solved by simply switching the IAC to the DAC, where ∈ 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.

原文英語
頁(從 - 到)638-654
頁數17
期刊Applied Soft Computing Journal
34
DOIs
出版狀態已發佈 - 2015 六月 20
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ASJC Scopus subject areas

  • 軟體

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