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Communication Dans Un Congrès Année : 2010

Fault diagnosis and fault tolerant control for non-Gaussian singular stochastic distribution systems

Lina Yao
  • Fonction : Auteur
Vincent Cocquempot
Hong Wang

Résumé

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.
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Dates et versions

hal-00710594 , version 1 (21-06-2012)

Identifiants

  • HAL Id : hal-00710594 , version 1

Citer

Lina Yao, Vincent Cocquempot, Hong Wang. Fault diagnosis and fault tolerant control for non-Gaussian singular stochastic distribution systems. 8th IEEE International Conference on Control & Automation (ICCA2010), Jun 2010, Xiamen, China. pp.1949-1954. ⟨hal-00710594⟩
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