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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Reliable fuzzy output feedback control of nonlinear parabolic distributed parameter systems with sensor faults
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Reliable fuzzy output feedback control of nonlinear parabolic distributed parameter systems with sensor faults

机译:具有传感器故障的非线性抛物线分布参数系统的可靠模糊输出反馈控制

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摘要

This paper studies the problem of output feedback control for a class of nonlinear spatially distributed systems described by parabolic partial differential equations (PDEs) with Markovian jumping sensor faults. The nonlinear parabolic distributed parameter systems (DPSs) are firstly expressed by T-S fuzzy models with parameter uncertainties and the aim is to design a reliable distributed fuzzy static output feedback (SOF) Proportional-spatial Derivative (P-sD) controller guaranteeing the robust stochastic exponential stability of the resulting closed-loop system. Based on a Markovian Lyapunov functional, a descriptor system approach is developed for reliable fuzzy SOF P-sD controller synthesis for the underlying nonlinear parabolic DPSs. It is shown that the controller gains can be obtained by solving a set of finite linear matrix inequalities. Finally, an example is given to illustrate the effectiveness of the proposed method.
机译:本文研究了一类非线性空间分布系统的输出反馈控制问题,该系统由具有马尔可夫跳跃传感器故障的抛物线偏微分方程(PDE)描述。首先用具有参数不确定性的TS模糊模型来表示非线性抛物线分布参数系统(DPS),其目的是设计一种可靠的分布式模糊静态输出反馈(SOF)比例空间微分(P-sD)控制器,以确保鲁棒的随机指数所产生的闭环系统的稳定性。基于Markovian Lyapunov函数,开发了一种描述符系统方法,用于基础非线性抛物线DPS的可靠模糊SOF P-sD控制器合成。结果表明,控制器增益可以通过求解一组有限线性矩阵不等式获得。最后,通过一个例子说明了该方法的有效性。

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