Graph-Theoretic Optimization for Edge Consensus
IFAC-PapersOnLine(2021)
摘要
We consider network structures that optimize the H2-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-H2 norm spanning tree, as well as how to choose edges to optimize the H2 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 H2 norm.
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关键词
Multi-agent systems,consensus,distributed control,H2 control
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