具有量化测量和马尔可夫跳变执行器故障的半线性偏微分方程系统的有限时间模糊有界控制

Finite-Time Fuzzy Bounded Control for Semilinear PDE Systems With Quantized Measurements and Markov Jump Actuator Failures

IEEE Transactions on Cybernetics · 2021
被引 58
ABS 3

中文导读

针对一类半线性抛物型偏微分方程系统,提出了一种可靠的模糊输出反馈控制器,能处理马尔可夫跳变执行器故障,并保证闭环系统在有限时间内有界。

Abstract

This article presents a novel reliable fuzzy output feedback controller for a class of semilinear parabolic partial differential equation systems with Markov jump actuator failures. First, the control strategy's novelties include the following aspects: 1) the considered system is represented by using a fuzzy modeling approach, based on which a new asynchronous fuzzy observer is constructed via utilizing a series of discrete output signals that are induced by samplers and quantizers; 2) a novel Markov jump input model, which is more fit for real applications, is introduced to depict various stochastically occurring actuator faults; and 3) inspired by the above discussion, a reliable mode-dependent fuzzy piecewise control strategy, which only needs limited actuators, is developed. Then, some new conditions, which can ensure that the closed-loop system is finite-time bounded, are established. Furthermore, some slave matrices are introduced to relax the strict constraints caused by asynchronous membership functions. Finally, two simulation examples are provided to support the validity of the proposed method.

控制理论模糊控制偏微分方程系统执行器故障有限时间有界