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

机译:一类高阶切换不确定非线性系统的自适应模糊跟踪控制

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摘要

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.
机译:本文研究了一类高阶切换非线性系统的自适应模糊跟踪控制。所考虑的系统具有完全未知的非线性函数和任意切换的特征。通过将常用的Lyapunov函数方法与功率积分器方法相结合,建立了一种有效的模糊自适应控制方法。消除了在有或没有开关的情况下广泛用于高阶非线性系统的一个常见假设。因为未知的非线性可以通过使用模糊逻辑系统来近似,所以我们提出的方法更加灵活和适用。此外,引入了一些有效的参数,以使获得的结果可以保证可以通过轻松地调整控制器设计参数来实现实际的输出跟踪性能。另一方面,为了解决过度参数化的问题,只给出了一个自适应律的结果。最后,通过仿真结果证明了理论方法的有效性。 (C)2017富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2017年第15期|6567-6587|共21页
  • 作者单位

    Bohai Univ, Coll Engn, Jinzhou 121013, Liaoning, Peoples R China;

    Bohai Univ, Coll Engn, Jinzhou 121013, Liaoning, Peoples R China;

    Qufu Normal Univ, Sch Engn, Rizhao 276826, Peoples R China;

    Bohai Univ, Coll Engn, Jinzhou 121013, Liaoning, Peoples R China|Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Liaoning, Peoples R China;

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  • 入库时间 2022-08-18 02:57:44

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