SYSYMar 14, 2018

Structural Controllability of a Consensus Network with Multiple Leaders

arXiv:1803.0509120 citationsh-index: 41
AI Analysis

Provides a graph-theoretic condition for controllability of multi-agent systems, relevant for control theory and network science.

This paper proves that the necessary and sufficient condition for structural controllability of a consensus network with multiple leaders is leader-follower connectivity of the graph topology, which reduces to graph connectivity for a single leader.

This paper examines the structural controllability for a group of agents, called followers, connected to each other based on the consensus law under commands of multiple leaders, which are agents with superior capabilities, over a fixed communication topology. It is proved that the graph-theoretic sufficient and necessary condition for the set of followers to be structurally controllable under the leaders' commands is leader-follower connectivity of the associated graph topology. This shrinks to graph connectivity for the case of solo leader. In the approach, we explicitly put into account the dependence among the entries of the system matrices for a consensus network using the linear parameterization technique introduced in [1].

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