Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10677629 | Applied Mathematical Modelling | 2016 | 33 Pages |
Abstract
This paper investigates the fault detection (FD) problem for networked control systems (NCS). The random delays from the sensor to the controller (S-C) and from the controller to the actuator (C-A) are modeled as a Markov chain. Whilst considering the data dropout phenomenon happens unavoidably and the measurement drops intermittently, C-A data dropout and S-C data dropout are coped with by introducing two independent Bernoulli processes. Based on the above two points, a stochastic parameter-varying Markovian jump system (SPVMJS) is constructed. By combining discrete Parseval theorem and strict S-procedure, a novel finite frequency approach is proposed to design an Hâ/Hâ fault detection filter for the SPVMJSs. Finally, a simulation example on the networked control system is presented to illustrate the effectiveness of the proposed method.
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Authors
Ding Zhai, Liwei An, Jinghao Li, Qingling Zhang,