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Consensus of descriptor multi-agent systems via dynamic compensators

机译:通过动态补偿器实现描述符多主体系统的共识

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This study deals with the consensus problem via dynamic output feedback (dynamic compensator) for descriptor (singular) multi-agent systems with fixed topologies and agents described by general linear systems. Only output information of each agent can be delivered from its neighbour agents. Based on graph, algebra and descriptor linear system theory, the necessary and sufficient conditions are proposed for the existence of dynamic compensators solving the considered problem. The given conditions depend on both the topologies within descriptor multi-agent systems and the structure properties of each agent dynamics. According to non-zero eigenvalues of the Laplacian matrix of the weighted digraph are the same or different, two consensus algorithms via dynamic compensators are proposed, respectively. The provided examples demonstrate the effectiveness of the proposed consensus algorithms.
机译:这项研究通过动态输出反馈(动态补偿器)处理具有固定拓扑结构的描述符(单个)多智能体系统和通用线性系统描述的智能体的共识问题。每个代理的输出信息只能从其邻居代理传递。基于图,代数和描述符线性系统理论,为解决所考虑问题的动态补偿器的存在提出了充要条件。给定条件既取决于描述符多主体系统中的拓扑结构,又取决于每个主体动力学的结构特性。根据加权有向图的拉普拉斯矩阵的非零特征值相同或不同,分别提出了两种通过动态补偿器的共识算法。提供的示例演示了所提出的共识算法的有效性。

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