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Average consensus in multi-agent systems with uncertain topologies and multiple time-varying delays

机译:具有不确定拓扑和多个时变延迟的多智能体系统中的平均共识

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In this paper, we investigate average consensus problem in continuous-time multi-agent systems with uncertain topologies as well as multiple time-varying communication delays. The network of dynamic agents is directed and both fixed and switching topologies are considered. By using the linear matrix inequality method, we prove that all the nodes in the network can achieve average consensus asymptotically for appropriate delays and uncertainties if the network topology is weakly connected and balanced. Feasible linear matrix inequalities are established to determine the maximal allowable upper bounds of multiple delays. Numerical examples are presented to illustrate the availability of the theoretical results.
机译:在本文中,我们研究了具有不确定拓扑结构和多个时变通信延迟的连续时间多智能体系统中的平均共识问题。动态代理网络是有方向的,并且考虑了固定拓扑和交换拓扑。通过使用线性矩阵不等式方法,我们证明了如果网络拓扑结构处于弱连接和平衡状态,则对于适当的时延和不确定性,网络中的所有节点都可以渐近地达到平均共识。建立可行的线性矩阵不等式以确定多重延迟的最大允许上限。数值例子说明了理论结果的有效性。

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