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Adaptive fuzzy output-feedback control for a class of nonlinear switched systems with unmodeled dynamics

机译:一类具有非模型动力学的非线性切换系统的自适应模糊输出反馈控制

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In this paper, an adaptive fuzzy output tracking control approach is proposed for a class of uncertain nonlinear switched systems with unmeasured states, unknown nonlinear functions, unmodeled dynamics, and dynamical disturbances. In the control design, fuzzy logic systems are used to approximate the unknown switched nonlinear functions and a switched fuzzy state observer is designed for estimating the unmeasured states. The problem of unmodeled dynamics and dynamic disturbance are solved by introduce a modified dynamical signals and nonlinear damping terms into the backsteping design procedure. Under the framework of backstepping control design, fuzzy adaptive control and average dwell time method, an adaptive fuzzy output-feedback tracking control approach is developed. It is proved that the proposed control approach can guarantee that all the signals in the closed-loop switched system are bounded and the tracking error remains an adjustable neighborhood of the origin. A numerical example is provided to illustrate the effectiveness of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文针对具有不确定状态,未知非线性函数,未建模动力学和动态扰动的一类不确定非线性切换系统,提出了一种自适应模糊输出跟踪控制方法。在控制设计中,模糊逻辑系统用于逼近未知的开关非线性函数,而开关模糊状态观察器则用于估计未测状态。通过将改进的动态信号和非线性阻尼项引入到反推设计程序中,解决了非建模动力学和动态扰动问题。在反推控制设计,模糊自适应控制和平均停留时间方法的框架下,提出了一种自适应模糊输出-反馈跟踪控制方法。实践证明,所提出的控制方法可以保证闭环切换系统中的所有信号都具有一定的有界性,并且跟踪误差保持在原点的可调范围内。提供了一个数值示例来说明所提出方法的有效性。 (C)2015 Elsevier B.V.保留所有权利。

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