Distributed strategies for making a digraph weight-balanced
Bahman Gharesifard, Jorge Cortés
Abstract
Bahman Gharesifard, Jorge Cortés
Abstract
A digraph is weight-balanced if, at each node, the sum of the weights of the incoming edges (in-degree) equals the sum of the weights of the outgoing edges (out-degree). Weight-balanced digraphs play an important role in a variety of cooperative control problems, including formation control, distributed averaging and optimization. We call a digraph weight-balanceable if it admits an edge weight assignment that makes it weight-balanced. It is known that semiconnectedness is a necessary and sufficient condition for a digraph to be weight-balanceable. However, to our knowledge, the available approaches to compute the appropriate set of weights are centralized. In this paper, we propose a distributed algorithm running synchronously on a directed communication network that allows individual agents to balance their in- and out-degrees. We also develop a systematic centralized algorithm for constructing a weight-balanced digraph and compute its time complexity. Finally, we modify the distributed procedure to design an algorithm which is distributed over the mirror digraph and has a time complexity much smaller than the centralized algorithm.
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A digraph is weight-balanced if, at each node, the sum of the weights of the incoming edges (in-degree) equals the sum of the weights of the outgoing edges (out-degree). Weight-balanced digraphs play an important role in a variety of cooperative control problems, including formation control, distributed averaging and optimization. We call a digraph weight-balanceable if it admits an edge weight assignment that makes it weight-balanced. It is known that semiconnectedness is a necessary and sufficient condition for a digraph to be weight-balanceable. However, to our knowledge, the available approaches to compute the appropriate set of weights are centralized. In this paper, we propose a distributed algorithm running synchronously on a directed communication network that allows individual agents to balance their in- and out-degrees. We also develop a systematic centralized algorithm for constructing a weight-balanced digraph and compute its time complexity. Finally, we modify the distributed procedure to design an algorithm which is distributed over the mirror digraph and has a time complexity much smaller than the centralized algorithm.
Key concepts: Digraph, Node (physics), Computer science, Set (abstract data type), Enhanced Data Rates for GSM Evolution, Distributed algorithm, Degree (music), Mathematics