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线性离散马尔科夫跳跃系统最优故障检测
引用本文:李岳场,钟麦英.线性离散马尔科夫跳跃系统最优故障检测[J].自动化学报,2013,39(6):926-932.
作者姓名:李岳场  钟麦英
作者单位:1.济南大学自动化与电气工程学院 济南 250022;
基金项目:Supported by National Natural Science Foundation of China(61174121, 61121003, 61203083), the Research Fund for the Doctoral Program of Higher Education of China, and Doctoral Foundation of University of Jinan(XBS1242)
摘    要:本文研究线性离散马尔科夫跳跃系统的最优故障检测问题。通过设计基于观测器的故障检测滤波器作为残差产生器,将滤波器的设计问题归结为随机意义下H_/H或H/H性能指标优化问题。基于算子优化方法,通过解耦合Riccati方程得到上述问题的统一解。算例验证所提方法的有效性。

关 键 词:故障检测滤波器    线性马尔科夫跳跃系统    观测器    耦合Riccati方程
收稿时间:2011-04-18

On Optimal Fault Detection for Discrete-time Markovian Jump Linear Systems
LI Yue-Yang,ZHONG Mai-Ying.On Optimal Fault Detection for Discrete-time Markovian Jump Linear Systems[J].Acta Automatica Sinica,2013,39(6):926-932.
Authors:LI Yue-Yang  ZHONG Mai-Ying
Affiliation:1.School of Electrical Engineering, University of Jinan, Jinan 250022, China;2.Science and Technology on Inertial Laboratory, Beihang University, Beijing 100191, China
Abstract:This paper deals with the problem of fault detection for discrete-time Markovian jump linear systems (MJLS). Using an observer-based fault detection filter (FDF) as a residual generator, the design of the FDF is formulated as an optimization problem for maximizing stochastic H_/H or H/H performance index. With the aid of an operator optimization method, it is shown that a unified optimal solution can be derived by solving a coupled Riccati equation. Numerical examples are given to show the effectiveness of the proposed method.
Keywords:Fault detection filter  Markovian jump linear system (MJLS)  observer  coupled Riccati equation
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