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Decentralized fault detection and isolation of Markovian jump interconnected systems with unknown interconnections
Author(s) -
Li LiWei,
Yang GuangHong
Publication year - 2017
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.3743
Subject(s) - fault detection and isolation , residual , jump , isolation (microbiology) , computer science , fault (geology) , control theory (sociology) , filter (signal processing) , markov process , mode (computer interface) , control engineering , engineering , control (management) , mathematics , algorithm , actuator , artificial intelligence , statistics , physics , quantum mechanics , seismology , microbiology and biotechnology , computer vision , biology , geology , operating system
Summary This paper investigates the decentralized fault detection and isolation (FDI) problem for Markovian jump interconnected systems with unknown interconnections. Different from the existing decentralized FDI approaches, the requirement for access to operation modes of all subsystems, which is unreasonable and hard to meet in realistic applications, is removed. By utilizing local measurements and neighboring mode information, a decentralized FDI filter is constructed to generate a residual for each subsystem of Markovian jump interconnected system. Then, a new design method is developed such that the resulting augmented system is stochastically stable and the generated residual is sensitive to local fault. In addition, the proposed method can achieve fault detection and isolation simultaneously. Finally, two examples are given to illustrate the effectiveness and merits of the new results. Copyright © 2017 John Wiley & Sons, Ltd.