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Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control

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  • Xiongfeng Deng
  • Xiuxia Sun
  • Shuguang Liu
  • Boyang Zhang

Abstract

In this paper, the consensus tracking control problem of leader-following nonlinear multiagent systems with iterative learning control is investigated. The model of each following agent consists of second-order unknown nonlinear dynamics and the external disturbance. Moreover, the input of each following agent is subject to saturation constraint. It is assumed that the information of leader is not available to any following agents, and the radial basis function neural network is introduced to approximate the nonlinear dynamics. Then, a distributed adaptive neural network iterative learning control protocol and the adaptive updating laws for the time-varying parameters are proposed, respectively. A new Lyapunov function is constructed to analyze the validity of the presented control protocol. Finally, a numerical example is provided to verify the effectiveness of theoretical results.

Suggested Citation

  • 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.
    • Handle: RePEc:hin:complx:9858504
    DOI: 10.1155/2019/9858504
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    References listed on IDEAS

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    1. Xiongfeng Deng & Xiuxia Sun & Ri Liu & Shuguang Liu, 2018. "Consensus control of leader-following nonlinear multi-agent systems with distributed adaptive iterative learning control," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(16), pages 3247-3260, December.
    2. Li, Jinsha & Li, Junmin, 2015. "Iterative learning control approach for a kind of heterogeneous multi-agent systems with distributed initial state learning," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 1044-1057.
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