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On optimal fault detection for discrete-time Markovian jump linear systems
  • ISSN号：0254-4156
  • 期刊名称：Acta Automatica Sinica
  • 时间：2013.6
  • 页码：926-932
  • 分类：TP271[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] V271.41[航空宇航科学与技术—飞行器设计;航空宇航科学技术]
  • 作者机构：[1]School of Eiectrical Engineering, University of Jinan, Jinan 250022, China, [2]Science and Technology on Inertial Laboratory, Beihang University, Beijing 100191, China
  • 相关基金：Supported by National Natural Science Foundation of China（61174121, 61121003, 61203083）; the Research Fund for the Doctoral Program of Higher Education of China; Doctoral Foundation of University of Jinan （XBS1242）
  • 相关项目：模型不确定线性离散时变系统鲁棒故障检测方法及应用研究
作者： 李岳炀|钟麦英|
关键词： 故障检测滤波器, 线性系统, 马尔可夫, 离散时间, 跳变, RICCATI方程, 优化问题, 性能指标, Fault detection filter, Markovian jump linear system （MJLS）, observer, coupled Riccati equation
中文摘要：

这份报纸为分离时间的 Markovian 处理差错察觉的问题跳线性系统(MJLS ) 。把一个基于观察员的差错察觉过滤器(FDF ) 用作一个剩余发电机， FDF 的设计为最大化随机的 H/H 或 H/H 表演索引作为一个优化问题被提出。在一个操作符优化方法的帮助下，一个统一最佳的解决方案能被解决 a coupled Riccati 方程导出，这被显示出。数字例子被给显示出建议方法的有效性。

英文摘要：

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.

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一类随机不确定线性系统集成故障检测与容错控制方法研究
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模型不确定线性离散时变系统鲁棒故障检测方法及应用研究
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期刊信息
  • 《自动化学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国自动化学会 中国科学院自动化研究所
  • 主编：王飞跃
  • 地址：北京东黄城根北街16号
  • 邮编：100717
  • 邮箱：aas@ia.ac.cn
  • 电话：010-64019820
  • 国际标准刊号：ISSN：0254-4156
  • 国内统一刊号：ISSN：11-2109/TP
  • 邮发代号:2-180
  • 获奖情况:
  • 1997年获全国优秀期刊奖,1985、1990、1996、2000年获中国科学院优秀期刊二等奖,2002年获国家期刊奖
  • 国内外数据库收录:
  • 美国数学评论（网络版）,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:27550