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Circuits, Systems, and Signal Processing

, Volume 30, Issue 1, pp 1–16 | Cite as

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

  • Bin Jiang
  • Peng Shi
  • Zehui Mao
Article

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.

Keywords

Fault estimation Nonlinear networked control systems Sliding mode observer 

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.College of Automation EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.Department of Computing and Mathematical SciencesUniversity of GlamorganPontypriddUK
  3. 3.School of Engineering and ScienceVictoria UniversityMelbourneAustralia

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