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Fault detection filter design for networked control systems with time‐varying sampling periods and packet dropouts
Author(s) -
Wang YuLong,
Xiong Jie
Publication year - 2016
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.2652
Subject(s) - fault detection and isolation , control theory (sociology) , residual , network packet , sampling (signal processing) , filter (signal processing) , observer (physics) , computer science , fault (geology) , sampling time , real time computing , control (management) , engineering , control engineering , algorithm , mathematics , statistics , artificial intelligence , actuator , computer network , physics , quantum mechanics , seismology , computer vision , geology
Summary This paper investigates the problem of fault detection for networked control systems under simultaneous consideration of time‐varying sampling periods and packet dropouts. By taking time‐varying sampling periods into consideration, a new closed‐loop model for the considered networked control systems is established. The sampling period switching‐based approach and the parameter uncertainty‐based approach are adopted to deal with time‐varying sampling periods. Based on the established model, the observer‐based fault detection filter design criteria are proposed to asymptotically stabilize the residual system in the sense of mean‐square. The designed observer‐based fault detection filter can guarantee the sensitivity of the residual signal to faults. The simulation results illustrate the effectiveness of the obtain results. Copyright © 2015 John Wiley & Sons, Ltd.