Graph-Theoretic Optimization for Edge Consensus

被引:0
|
作者
Hudoba de Badyn, Mathias [1 ]
Foight, Dillon R. [2 ]
Calderone, Daniel [2 ]
Mesbahi, Mehran [2 ]
Smith, Roy S. [1 ]
机构
[1] Swiss Fed Inst Technol, Automat Control Lab, Zurich, Switzerland
[2] Univ Washington, William E Boeing Dept Aeronaut & Astronaut, Seattle, WA 98109 USA
来源
IFAC PAPERSONLINE | 2021年 / 54卷 / 09期
关键词
Multi-agent systems; consensus; distributed control; H-2; control; PERFORMANCE; COHERENCE; NETWORKS; DESIGN;
D O I
10.1016/j.ifacol.2021.06.113
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider network structures that optimize the H-2-norm of weighted, time scaled consensus networks, under a minimal representation of such consensus networks described by the edge Laplacian. We show that a greedy algorithm can be used to find the minimum-H-2 norm spanning tree, as well as how to choose edges to optimize the H-2 norm when edges are added back to a spanning tree. In the case of edge consensus with a measurement model considering all edges in the graph, we show that adding edges between slow nodes in the graph provides the smallest increase in the H-2 norm. Copyright (C) 2021 The Authors.
引用
收藏
页码:533 / 538
页数:6
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