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

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

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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.

Item Type: Article
Uncontrolled Keywords: ResPubID20013, fault estimation, nonlinear networked control systems, sliding mode observer
Subjects: Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0802 Computation Theory and Mathematics
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Depositing User: VUIR
Date Deposited: 19 Dec 2011 04:04
Last Modified: 19 Dec 2011 04:04
URI: http://vuir.vu.edu.au/id/eprint/7489
DOI: 10.1007/s00034-010-9203-7
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Citations in Scopus: 54 - View on Scopus

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