Title of Paper:Adaptive fuzzy tracking control for a class of high-order switched uncertain nonlinear systems

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Date of Publication:2017-10-01

Journal:JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Included Journals:Scopus、SCIE、EI

Volume:354

Issue:15

Page Number:6567-6587

ISSN No.:0016-0032

Abstract:In this paper, adaptive fuzzy tracking control is investigated for a class of high-order switched non-linear systems. The considered systems possess the characteristic of completely unknown nonlinear functions and arbitrary switchings. An efficient fuzzy adaptive control method is established by com-bining the common Lyapunov function method with adding a power integrator approach. A common assumption that is widely used in high-order nonlinear systems with or without switching is removed. Because the unknown nonlinearities can be approximated by using fuzzy logic systems, our proposed method is more flexible and applicable. Furthermore, some effective parameters are introduced such that the obtained results can guarantee that the practical output tracking performance can be realized via easily tuning the controller design parameters. On the other hand, to solve the problem of overparameterization, a result with only one adaptive law is given. Finally, simulation results are addressed to show the effectiveness of the theoretical approaches. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.