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Cooperative Adaptive Tracking Control for Unknown Nonlinear Multi-agent Systems with Signal Transmission Faults

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Abstract

In this paper, the cooperative adaptive fault-tolerant tracking control problem of high-order nonlinear multi-agent systems with signal transmission faults is studied. A neural network-based adaptive fault-tolerant control scheme is proposed, which guarantees that all followers asymptotically synchronize to a leader with tracking errors converging to a small neighborhood of the origin in spite of signal transmission faults. Based on algebraic graph theory and Lyapunov theory, the analysis of stability and parameter convergence of the proposed algorithm are conducted. Finally, an example is provided to validate the theoretical results.

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Acknowledgements

The work is partly supported by the National Natural Science Foundation of China (61873229, 61473250).

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Authors and Affiliations

  1. College of Information Engineering, Yangzhou University, Yangzhou, 225127, China

    Qilong Fu & Qikun Shen

  2. Isenberg School of Management, University of Massachusetts, Amherst, 01003, USA

    Ziyang Jia

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  1. Qilong Fu
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  2. Qikun Shen
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  3. Ziyang Jia
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Correspondence to Qikun Shen.

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Fu, Q., Shen, Q. & Jia, Z. Cooperative Adaptive Tracking Control for Unknown Nonlinear Multi-agent Systems with Signal Transmission Faults. Circuits Syst Signal Process 39, 1335–1352 (2020). https://doi.org/10.1007/s00034-019-01218-7

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  • DOI: https://doi.org/10.1007/s00034-019-01218-7

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