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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lina Yao Cocquempot, V. Hong Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: Zhengzhou University, 450001 China (Lina Yao) || University of Manchster, Manchester, M60 1QD, UK (Hong Wang) || LAGIS-CNRS, Lille1 University, Villeneuve d'Ascq cedex, 59655 France (Cocquempot, V.) |
| Abstract | This paper presents new fault detection and diagnosis (FDD) and fault tolerant control (FTC)algorithms for non-Gaussian singular stochastic distribution control (SDC) systems. Different from general SDC systems, in singular SDC systems, the relationship between the weights and the control input is expressed by a singular state space mode, which increases the difficulty in the FDD and FDD design. The FDD algorithm is formulated by extending the developed FDD algorithms of non-singular SDC systems to singular systems. Based on the estimated fault information, the fault tolerant controller can be designed to make the post-fault probability density function (PDF) still track the given distribution. Computer simulations are given to show the effectiveness of the proposed FDD and FTC algorithms. |
| Starting Page | 1949 |
| Ending Page | 1954 |
| File Size | 7302894 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424451951 |
| ISSN | 19483457 |
| DOI | 10.1109/ICCA.2010.5524231 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fault diagnosis Fault tolerant systems Control systems Stochastic processes Fault detection Weight control State-space methods Fault tolerance Probability density function Computer simulation probability density function fault tolerant control singular stochastic distribution systems |
| Content Type | Text |
| Resource Type | Article |
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