Fault detection for stochastic parameter-varying Markovian jump systems with application to networked control systems-Reference-Cited by-同舟云学术

Fault detection for stochastic parameter-varying Markovian jump systems with application to networked control systems

Published:2016-02 Issue:3 Volume:40 Page:2368-2383
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Zhai Ding,An Liwei,Li Jinghao,Zhang Qingling

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation

Reference35 articles.

1. Fault isolation in industrial processes by the dynamic table of states method;Jan;Automatica,1995

2. Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis;Evan;Chemo. Intell. Laboratory Syst.,2000

3. A fuzzy expert system for fault detection in statistical process control of industrial processes;Shendy;IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev.,2000

4. Fault estimation for single output nonlinear systems using an adaptive sliding mode estimator;Yan;IET Control Theory Appl.,2008

5. Nonlinear robust fault reconstruction and estimation using a sliding mode observer;Yan;Automatica,2007

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