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Design of stochastic fault tolerant control for H 2 performance
Author(s) -
Tao Feng,
Zhao Qing
Publication year - 2006
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1096
Subject(s) - markov chain , control theory (sociology) , context (archaeology) , fault tolerance , controller (irrigation) , fault detection and isolation , stability (learning theory) , discrete time and continuous time , markov process , fault (geology) , process (computing) , computer science , control (management) , engineering , mathematics , actuator , statistics , distributed computing , artificial intelligence , paleontology , machine learning , seismology , agronomy , biology , geology , operating system
Abstract In this paper, the controller synthesis problem for fault tolerant control systems (FTCS) with stochastic stability and H 2 performance is studied. System faults of random nature are modelled by a Markov chain. Because the real system fault modes are not directly accessible in the context of FTCS, the controller is reconfigured based on the output of a fault detection and identification (FDI) process, which is modelled by another Markov chain. Then state feedback and output feedback control are developed to achieve the mean square stability (MSS) and the H 2 performance for both continuous‐time and discrete‐time systems with model uncertainties. Copyright © 2006 John Wiley & Sons, Ltd.