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Volume 8 Issue 11
Nov.  2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2021  >  8(11): 1752-1761
Z. J. Li, J. Zhao, "Adaptive Consensus of Non-Strict Feedback Switched Multi-Agent Systems With Input Saturations," IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1752-1761, Nov. 2021. doi: 10.1109/JAS.2021.1004165
Citation: Z. J. Li, J. Zhao, "Adaptive Consensus of Non-Strict Feedback Switched Multi-Agent Systems With Input Saturations," IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1752-1761, Nov. 2021. doi: 10.1109/JAS.2021.1004165
shu

Adaptive Consensus of Non-Strict Feedback Switched Multi-Agent Systems With Input Saturations

doi: 10.1109/JAS.2021.1004165
  • 1.

    Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

  • 2.

    College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

Funds:  This work was supported in part by the National Key Research and Development Program (2018YFA0702202), in part by the Leadingedge Technology Program of Jiangsu National Science Foundation (BK20202011), in part by the Research Grants of the Nanjing University of Posts and Telecommunications (NY220158, NY220177)
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    Abstract
  • This paper considers the leader-following consensus for a class of nonlinear switched multi-agent systems (MASs) with non-strict feedback forms and input saturations under unknown switching mechanisms. First, in virtue of Gaussian error functions, the saturation nonlinearities are represented by asymmetric saturation models. Second, neural networks are utilized to approximate some unknown packaged functions, and the structural property of Gaussian basis functions is introduced to handle the non-strict feedback terms. Third, by using the backstepping process, a common Lyapunov function is constructed for all the subsystems of the followers. At last, we propose an adaptive consensus protocol, under which the tracking error under arbitrary switching converges to a small neighborhood of the origin. The effectiveness of the proposed protocol is illustrated by a simulation example.

     

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    Highlights

    • An adaptive consensus protocol for non-strict feedback switched multi-agent systems with input saturation is proposed
    • The structural property of Gaussian basis functions is introduced to handle the non-strict feedback terms
    • Common Lyapunov function is constructed for all the subsystems to deal with unknown switching mechanisms

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