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Simultaneous fault estimation for uncertain Markovian jump systems subjected to actuator degradation
Author(s) -
Li Xiaohang,
Zhang Weidong,
Wang Yueying
Publication year - 2019
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.4635
Subject(s) - control theory (sociology) , actuator , observer (physics) , jump , fault (geology) , bounded function , control reconfiguration , computer science , degradation (telecommunications) , markov process , control (management) , mathematics , physics , mathematical analysis , telecommunications , statistics , quantum mechanics , artificial intelligence , seismology , embedded system , geology
Summary This paper investigates simultaneous estimations of states, system fault, and sensor fault for a class of Markovian jump systems, resorting to the design of a robust observer, in which both the external disturbance and actuator degradation are taken into consideration. The loss‐of‐effectiveness, stuck, and outage fault cases are involved, and the considered Markovian jump system is assumed to possess generally uncertain transition rates, which can generalize the traditional bounded uncertain transition rates and partially unknown transition rates. In particular, an augmented system whose states cover the original states, system fault, and sensor fault is constructed. Then, a novel adaptive observer is presented with time‐varying gain matrices and parameter accommodation being injected to deal with the disturbance and actuator degradation. Finally, a practical example is shown to demonstrate the high efficiency of the proposed method as well as its advantages over some existing results.