<p>This paper investigates leader-follower output consensus control for heterogeneous nonlinear multi-agent systems under asynchronous sampling, and proposes an analysis approach for multi-channel packet dropouts that covers both system components and communication networks. Particularly, this study not only solves the inter-agent asynchronous packet dropout problem, but also further considers the independence of packet dropouts when the same agent transmits information to different neighbors. Different from existing results, a novel gain-based compensator-estimator construction strategy is first proposed, where the estimators achieve dynamic adjustment through packet-dropout-dependent state update mechanisms. Subsequently, a distributed output feedback control protocol is designed to compensate for the packet-dropout-induced performance degradation under unmeasurable state conditions. By introducing packet-dropout-related auxiliary variables, the relationship among the maximum number of consecutive packet dropouts, sampling period, and control gain is derived, and the leader-follower output consensus is rigorously proved. Finally, simulation examples validates the effectiveness of the control protocol.</p>

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Leader-follower output consensus for heterogeneous nonlinear multi-agent systems under multi-channel asynchronous packet dropouts

  • Yiyu Feng,
  • Yanan Qi,
  • Xianfu Zhang

摘要

This paper investigates leader-follower output consensus control for heterogeneous nonlinear multi-agent systems under asynchronous sampling, and proposes an analysis approach for multi-channel packet dropouts that covers both system components and communication networks. Particularly, this study not only solves the inter-agent asynchronous packet dropout problem, but also further considers the independence of packet dropouts when the same agent transmits information to different neighbors. Different from existing results, a novel gain-based compensator-estimator construction strategy is first proposed, where the estimators achieve dynamic adjustment through packet-dropout-dependent state update mechanisms. Subsequently, a distributed output feedback control protocol is designed to compensate for the packet-dropout-induced performance degradation under unmeasurable state conditions. By introducing packet-dropout-related auxiliary variables, the relationship among the maximum number of consecutive packet dropouts, sampling period, and control gain is derived, and the leader-follower output consensus is rigorously proved. Finally, simulation examples validates the effectiveness of the control protocol.