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

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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.

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Author information

Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Bin Jiang & Zehui Mao

  2. Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, CF37 1DL, UK

    Peng Shi

  3. School of Engineering and Science, Victoria University, Melbourne, Vic, 8001, Australia

    Peng Shi

Authors
  1. Bin Jiang
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  2. Peng Shi
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  3. Zehui Mao
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Corresponding author

Correspondence to Bin Jiang.

Additional information

Partially supported by National Natural Science Foundation of China (60874051, 61034005), NUAA Research Funding (NZ2010003, NS2010071), and Engineering and Physical Sciences Research Council, UK (EP/F029195).

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Jiang, B., Shi, P. & Mao, Z. Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems. Circuits Syst Signal Process 30, 1–16 (2011). https://doi.org/10.1007/s00034-010-9203-7

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  • DOI: https://doi.org/10.1007/s00034-010-9203-7

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