Title :

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

Author(s) :

Yao, Lina [Auteur]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]
Wang, Hong [Auteur]

Conference title :

8th IEEE International Conference on Control & Automation (ICCA2010)

City :

Xiamen

Country :

Chine

Start date of the conference :

2010-06-09

Book title :

Control and Automation (ICCA), 2010 8th IEEE International Conference

Publication date :

2010-06-09

English keyword(s) :

Fault diagnosis
fault tolerant control
probability density function
singular stochastic distribution systems

HAL domain(s) :

Sciences de l'ingénieur [physics]/Automatique / Robotique

English abstract : [en]

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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL