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Distributed formation tracking for high-order multi-agent systems with a leader of unknown input and switching topologies via edge-based adaptive protocol

机译:通过基于边缘的自适应协议,具有未知输入和切换拓扑的领导者的高阶多智能体系统的分布式编队跟踪

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This paper studies the distributed time-varying formation tracking problems for high-order multi-agent systems with a leader of unknown input and switching topologies. The followers can realize the given formation configuration and track the trajectory of the leader at the same time. By assigning the adaptive gains and the sliding mode terms to each edge of the graph, a novel edge-based adaptive formation tracking protocol is presented to compensate for the leader’s unknown input. The proposed approach is fully distributed with no need for the global information of the topology and the upper bound of the leader’s input. Based on the common Lyapunov theory, it is proved that the expected formation tracking can be realized by high-order multi-agent systems with arbitrary switching graphs. A simulation example is given to verify the effectiveness of the theoretical results.
机译:本文研究了具有未知输入和切换拓扑领导者的高阶多智能体系统的分布式时变编队跟踪问题。跟随者可以实现给定的编队配置,并同时跟踪引导者的轨迹。通过将自适应增益和滑模项分配给图形的每个边缘,提出了一种新颖的基于边缘的自适应编队跟踪协议,以补偿领导者的未知输入。所建议的方法是完全分布式的,不需要拓扑的全局信息和领导者输入的上限。基于常见的李雅普诺夫理论,证明了期望的编队跟踪可以通过具有任意切换图的高阶多智能体系统实现。仿真例子验证了理论结果的有效性。

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