Multiobjective Output Feedback Control of a Class of Stochastic Hybrid Systems with State-Dependent Noise
Author(s) -
Samir Aberkane,
Jean-Christophe Ponsart,
Dominique Sauter
Publication year - 2007
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2007/31561
Subject(s) - algorithm , computer science , noise (video) , state (computer science) , stability (learning theory) , machine learning , artificial intelligence , image (mathematics)
This paper deals with dynamic output feedback control of continuous-time active fault tolerant control systems with Markovian parameters (AFTCSMP) and state-dependent noise. The main contribution is to formulate conditions for multiperformance design, related to this class of stochastic hybrid systems, that take into account the problematic resulting from the fact that the controller only depends on the fault detection and isolation (FDI) process. The specifications and objectives under consideration include stochastic stability, ℋ2 and ℋ∞ (or more generally, stochastic integral quadratic constraints) performances. Results are formulated as matrix inequalities. The theoretical results are illustrated using a classical example from literature
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