Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems

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Jaing, Bin, Shi, Peng and Mao, Zehui (2011) Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems. Circuits, Systems and Signal Processing, 30 (1). pp. 1-16. ISSN 0278-081X

Abstract

In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. Firstly, the nonlinear NCS is described by a nonlinear discrete Takagi–Sugeno (T–S) fuzzy model using the Euler approximation method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion of the error dynamical system is asymptotically stable on a designed surface. Then the FE can be achieved through this observer. Finally, an example is included to show the efficiency of the proposed method.

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Item type	Article
URI	https://vuir.vu.edu.au/id/eprint/7489
DOI	10.1007/s00034-010-9203-7
Official URL	http://dx.doi.org/10.1007/s00034-010-9203-7
Subjects	Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM) Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Keywords	ResPubID20013, fault estimation, nonlinear networked control systems, sliding mode observer
Citations in Scopus	67 - View on Scopus
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