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首页> 外文期刊>Mathematical Problems in Engineering >LQR Based Optimal Topology of Hybrid-Weighted Multiagent Systems
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LQR Based Optimal Topology of Hybrid-Weighted Multiagent Systems

机译:基于LQR的混合加权多Agent系统最优拓扑。

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In this paper, the optimal topology structure is studied for hybrid-weighted leader-follower multiagent systems (MASs). The results are developed by taking advantage of linear quadratic regulator (LQR) theory. We show that the multiagent star composite structure is the optimal topology which can enable the MAS to achieve the bipartite consensus. In particular, we prove that the optimal topology corresponding to the multiagent system with the first-order static leader and the second-order dynamic leader is, respectively, a hybrid-weighted star composite structure and an unevenly hybrid-weighted star composite structure. The results of the paper indicate that, in addition to the necessary information communication between leader and followers, the information exchange among followers increases the control cost of the system.
机译:本文研究了混合加权的领导者跟随者多主体系统(MAS)的最优拓扑结构。利用线性二次调节器(LQR)理论来开发结果。我们表明,多主体星型复合结构是使MAS达到二分共识的最佳拓扑。特别地,我们证明了与具有一阶静态领导者和二阶动态领导者的多主体系统相对应的最佳拓扑分别是混合加权星形复合结构和不均匀混合加权星形复合结构。论文的结果表明,除了领导者和跟随者之间必要的信息交流外,跟随者之间的信息交换还增加了系统的控制成本。

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