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Robust fault diagnosis of networked control systems

✍ Scribed by Dominique Sauter; Shanbin Li; Christophe Aubrun


Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
310 KB
Volume
23
Category
Article
ISSN
0890-6327

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✦ Synopsis


Abstract

The fault detection problem is studied in this paper for a class of linear networked control systems (NCS) with communication delays. The aim is to generate residual signals which, in the fault‐free case, are supposed to be identical to zero. In practice, this condition is not respected due to various factors such as measurements noises, model uncertainties, and in particular for NCS communication‐induced delays. In this work, the communication delays are described as a random Markov jump process and a fault isolation filter is developed. Directional residuals, decoupled from the disturbance, are generated to ensure the treatment of multiple faults appearing simultaneously or sequentially. The parameters of the filter are determined to satisfy H~∞~ disturbance attenuation and poles assignment constraints in the frame of Markov jump linear systems. Sufficient conditions for the existence of the fault detection filter are set in terms of linear matrix inequalities. An illustrative example is given to show the efficiency of the proposed method for NCS. Copyright Β© 2008 John Wiley & Sons, Ltd.


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## Abstract A methodology for the design of fault‐tolerant control systems for chemical plants with distributed interconnected processing units is presented. Bringing together tools from Lyapunov‐based nonlinear control and hybrid systems theory, the approach is based on a hierarchical architecture