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一类具有时变延迟的离散时间奇异马尔可夫跳变系统的H∞滤波

H∞ filtering for a class of discrete-time singular Markovian jump systems with time-varying delays.

作者信息

Ding Yucai, Liu Hui, Cheng Jun

机构信息

School of Science, Southwest University of Science and Technology, Mianyang 621010, China.

School of Science, Southwest University of Science and Technology, Mianyang 621010, China.

出版信息

ISA Trans. 2014 Jul;53(4):1054-60. doi: 10.1016/j.isatra.2014.05.005. Epub 2014 Jun 2.

Abstract

The problem of H∞ filtering for a class of discrete-time singular Markovian jump systems with time-varying delays is investigated in this paper. The transition probabilities under consideration are time-varying, i.e., Markovian chain is nonhomogeneous. By using the Lyapunov functional approach and reciprocally convex technique, a less conservative delay-dependent bounded real lemma is developed in terms of linear matrix inequalities. Moreover, a sufficient condition for the existence of the desired filter which guarantees the stochastic admissibility and the H∞ performance index of the resulting filtering error system is presented. Numerical examples are employed to show the usefulness of the proposed results.

摘要

本文研究了一类具有时变延迟的离散时间奇异马尔可夫跳跃系统的H∞滤波问题。所考虑的转移概率是时变的,即马尔可夫链是非齐次的。通过使用李雅普诺夫泛函方法和互易凸技术,基于线性矩阵不等式建立了一个保守性较小的时滞依赖有界实引理。此外,给出了存在期望滤波器的充分条件,该条件保证了所得滤波误差系统的随机容许性和H∞性能指标。数值例子用于说明所提结果的有效性。

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