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H ∞ filtering of discrete‐time interconnected systems with failed interconnections
Author(s) -
Chen Yuzhi,
Wu ChunYu,
Xu Ning,
Alotaibi Naif D.,
Alkhateeb Abdulhameed F.
Publication year - 2020
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.3175
Subject(s) - dwell time , filter (signal processing) , control theory (sociology) , discrete time and continuous time , fault (geology) , stability (learning theory) , computer science , stability theory , signal (programming language) , fault detection and isolation , exponential stability , mathematics , statistics , artificial intelligence , nonlinear system , medicine , clinical psychology , physics , control (management) , quantum mechanics , machine learning , seismology , actuator , computer vision , programming language , geology
Summary The H ∞ filtering problem for interconnected systems is addressed in this paper. In order to facilitate the stability analysis of interconnected systems under the conditions of failed interconnections, a strategy related to switched systems is introduced. Assume that the interconnections among these subsystems disconnect based on the mode‐dependent average dwell time (MDADT), a switching signal is implemented to denote the failed interconnections cases. In the aid of the MDADT method, a filter is designed such that the fault detection (FD) system is asymptotically stable and satisfies the weighted H ∞ performance. Finally, a numerical simulation is provided to show the effectiveness of the proposed filter.