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Distributed Estimator-Based Fault Detection for Multi-agent Networks

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Abstract

This paper focuses on the problem of fault detection (FD) for multi-agent networks when some follower agents are subjected to actuator or sensor faults. A distributed FD architecture is proposed by constructing a consensus-based estimator and the related residual. Using Lyapunov function method and Riccati equation, asymptotically stable condition for the novel estimator is derived, and the time-varying residual threshold for FD is determined. A numerical example is presented to illustrate the efficiency of the consensus-based approach for FD.

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Authors and Affiliations

  1. College of Automation, Huazhong University of Science and Technology, Wuhan, 430074, People’s Republic of China

    Dan Zhao, Ming Chi & Zhi-Hong Guan

  2. School of Science, Wuhan University of Technology, Wuhan, 430072, People’s Republic of China

    Yonghong Wu

  3. School of Science, Hubei University of Technology, Wuhan, 430068, People’s Republic of China

    Jie Chen

Authors
  1. Dan Zhao
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  2. Ming Chi
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  3. Zhi-Hong Guan
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  4. Yonghong Wu
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  5. Jie Chen
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Corresponding author

Correspondence to Zhi-Hong Guan.

Additional information

This work was partially supported by the National Natural Science Foundation of China under Grants 61633011, 61373041, 61572208, 61572210 and 61503129.

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Zhao, D., Chi, M., Guan, ZH. et al. Distributed Estimator-Based Fault Detection for Multi-agent Networks. Circuits Syst Signal Process 37, 98–111 (2018). https://doi.org/10.1007/s00034-017-0548-z

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  • DOI: https://doi.org/10.1007/s00034-017-0548-z

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