A Truncated Prediction Approach to Consensus Control of Lipschitz Nonlinear Multi-Agent Systems with Input Delay

Chunyan Wang, Zongyu Zuo, Zongli Lin, Zhengtao Ding

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper deals with the consensus control problem for Lipschitz nonlinear multi-agent systems with input delay. A prediction of the agent state over the delay period is approximated by the zero input solution of the agent dynamics. The structure of a linear state feedback control algorithm is assumed for each agent based on such approximated state prediction. By transforming the Laplacian matrix into the real Jordan form, sufficient conditions are established under which the multi-agent systems under the proposed control algorithms achieve global consensus. The feedback gain is then designed by solving these conditions with an iterative LMI procedure. A simulation study is given to validate the proposed control design.
    Original languageEnglish
    JournalIEEE Transactions on Control of Network Systems
    Publication statusAccepted/In press - 13 Mar 2016

    Keywords

    • Consensus control, truncated prediction, input delay, Lipschitz nonlinearity.

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