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Distributed Coordination for a Class of High‐Order Multiagent Systems Subject to Actuator Saturations by Iterative Learning Control

Author

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  • Nana Yang
  • Suoping Li

Abstract

This paper investigates a distributed coordination control for a class of high‐order uncertain multiagent systems. Under the framework of iterative learning control, a novel fully distributed learning protocol is devised for the coordination problem of MASs including time‐varying parameter uncertainties as well as actuator saturations. Meanwhile, the learning updating laws of various parameters are proposed. Utilizing Lyapunov theory and combining with Graph theory, the proposed algorithm can make each follower track a leader completely over a limited time interval even though each follower is without knowing the dynamics of the leader. Moreover, the extension to formation control is made. The validity and feasibility of the algorithm are verified conclusively by two examples.

Suggested Citation

  • Nana Yang & Suoping Li, 2022. "Distributed Coordination for a Class of High‐Order Multiagent Systems Subject to Actuator Saturations by Iterative Learning Control," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:4020266
    DOI: 10.1155/2022/4020266
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    References listed on IDEAS

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    1. Jinsha Li & Junmin Li, 2016. "Distributed adaptive fuzzy iterative learning control of coordination problems for higher order multi-agent systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(10), pages 2318-2329, July.
    2. Jinsha Li & Sanyang Liu & Junmin Li, 2017. "Observer-based distributed adaptive iterative learning control for linear multi-agent systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(14), pages 2948-2955, October.
    3. Xiongfeng Deng & Xiuxia Sun & Shuguang Liu & Boyang Zhang, 2019. "Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control," Complexity, Hindawi, vol. 2019, pages 1-13, May.
    4. Wang, Yingchun & Li, Haifeng & Qiu, Xiaojie & Xie, Xiangpeng, 2020. "Consensus tracking for nonlinear multi-agent systems with unknown disturbance by using model free adaptive iterative learning control," Applied Mathematics and Computation, Elsevier, vol. 365(C).
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