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Fault detection filter design for stochastic networked control systems
Author(s) -
Long Yue,
Yang GuangHong
Publication year - 2015
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.3097
Subject(s) - computer science , network packet , node (physics) , filter (signal processing) , networked control system , constraint (computer aided design) , lyapunov function , transmission (telecommunications) , construct (python library) , fault detection and isolation , lyapunov stability , channel (broadcasting) , telecommunications network , control theory (sociology) , focus (optics) , stochastic process , task (project management) , distributed computing , control (management) , computer network , engineering , mathematics , telecommunications , artificial intelligence , actuator , mechanical engineering , statistics , physics , structural engineering , optics , systems engineering , nonlinear system , quantum mechanics , computer vision
Summary This paper is concerned with the fault detection filter (FDF) design for networked control systems subject to time‐varying transmission intervals and delays, packet dropouts, and communication constraints. The considered communication constraint is that only one network node is allowed to gain access to the shared communication channel. Also, the accessing of each node is scheduled by a specified stochastic protocol, and the remote FDFs perform the FD task only with these partially available measurements. By focus on the network‐induced phenomena, the whole FD system are first modeled in the framework of switched stochastic systems with multiple stochastic parameters. Subsequently, by using the multi‐Lyapunov functional approach and novel analysis approach, less conservative conditions including some previous existing results are derived to construct such FDFs. Finally, an example is given to illustrate the effectiveness of the proposed method.Copyright © 2013 John Wiley & Sons, Ltd.