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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/115969


    Title: Intelligent Switching Adaptive control for Uncertain Nonlinear Dynamical Systems
    Authors: Li, I.H.;Lee, L.W.;Chiang, H.H.
    Keywords: Hopfield dynamic neural network;Adaptive control;Switching control
    Date: 2015-09
    Issue Date: 2019-03-14 12:10:36 (UTC+8)
    Publisher: Elsevier
    Abstract: 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.
    Relation: Applied Soft Computing 34, p.638-654
    DOI: 10.1016/j.asoc.2015.04.057
    Appears in Collections:[機械與機電工程學系暨研究所] 期刊論文

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