Intelligent Switching Adaptive control for Uncertain Nonlinear Dynamical Systems

淡江大學機構典藏 > 工學院 > 機械與機電工程學系暨研究所 > 期刊論文 > Item 987654321/115969

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题名:	Intelligent Switching Adaptive control for Uncertain Nonlinear Dynamical Systems
作者:	Li, I.H.;Lee, L.W.;Chiang, H.H.
关键词:	Hopfield dynamic neural network;Adaptive control;Switching control
日期:	2015-09
上传时间:	2019-03-14 12:10:36 (UTC+8)
出版者:	Elsevier
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.
關聯:	Applied Soft Computing 34, p.638-654
DOI:	10.1016/j.asoc.2015.04.057
显示于类别:	[機械與機電工程學系暨研究所] 期刊論文

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