H∞ Stochastic Stabilization of Active Fault Tolerant Control Systems: Convex Approach

This paper deals with the problem of H ∞ and robust H ∞ control, via dynamic output feedback, of continuous time Active Fault Tolerant Control Systems with Markovian Parameters (AFTCSMP) subject to structured parameter uncertainties. The above problematic are addressed under a convex programming app...

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Bibliographic Details
Published inProceedings of the 44th IEEE Conference on Decision and Control pp. 3783 - 3788
Main Authors Aberkane, S., Sauter, D., Ponsart, J.C., Theilliol, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Actuators
Control systems
Fault detection
Fault tolerant systems
Output feedback
Random processes
Robust control
Robust stability
Stochastic systems
Sufficient conditions
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ISBN9780780395671
0780395670
ISSN0191-2216
DOI10.1109/CDC.2005.1582751

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Summary:This paper deals with the problem of H ∞ and robust H ∞ control, via dynamic output feedback, of continuous time Active Fault Tolerant Control Systems with Markovian Parameters (AFTCSMP) subject to structured parameter uncertainties. The above problematic are addressed under a convex programming approach. Indeed, the fundamental tool in the analysis is an LMI (Linear Matrix Inequalities) characterization of dynamical compensators that stochastically (robustly) stabilize the closed loop system and ensure H ∞ and robust H ∞ constraints.
ISBN:9780780395671
0780395670
ISSN:0191-2216
DOI:10.1109/CDC.2005.1582751