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Reliable finite-time H-infinity filtering for discrete time-delay systems with Markovian jump and randomly occurring nonlinearities

机译:具有马尔可夫跳跃和随机发生非线性的离散时滞系统的可靠有限时H无限滤波

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摘要

This paper is concerned with the problem of reliable finite-time 11, filtering for discrete time-varying delay systems with Markovian jump and randomly occurring nonlinearities (RONs). RONs are introduced to model a class of sector-like nonlinearities that occur in a probabilistic way according to a two-dimensional discrete random variables joint distribution. The failures of sensors are quantified by a variable varying in a given interval. The time-varying delay is unknown with given lower and upper bounds. Firstly, the filtering errr dynamic system is constructed based on an H-infinity filter, sufficient criteria are provided to guarantee that the resulting filtering error system is stochastic finite-time boundedness and stochastic finite-time filtering in both normal and fault cases. The gain matrices of the controller and filter are achieved by solving a feasibility problem in terms of linear matrix inequalities with a fixed parameter, respectively. Finally, numerical examples are given to demonstrate the effectiveness of the proposed design approach. (C) 2015 Elsevier Inc. All rights reserved.
机译:本文涉及可靠的有限时间11的问题,该离散时间具有Markovian跳跃和随机发生的非线性(RON)的离散时变延迟系统的滤波。引入RON来建模一类根据二维离散随机变量联合分布以概率方式出现的扇形非线性。传感器的故障通过在给定间隔内变化的变量来量化。在给定上下限的情况下,时变延迟是未知的。首先,基于H-无穷大滤波器构造了滤波误差动态系统,并提供了足够的标准来保证所产生的滤波误差系统在正常和故障情况下均为随机有限时间有界和随机有限时间滤波。控制器和滤波器的增益矩阵是通过分别解决具有固定参数的线性矩阵不等式的可行性问题而获得的。最后,通过数值算例证明了所提出设计方法的有效性。 (C)2015 Elsevier Inc.保留所有权利。

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