Leader selection and weight adjustment problems for multi-agent systems
For researchers in multi-agent systems, this work offers theoretical conditions and algorithms to enhance controllability, but it is incremental as it extends existing controllability concepts to directed topologies.
This paper addresses leader selection and weight adjustment problems to improve controllability of multi-agent systems under directed topologies. It provides necessary and sufficient algebraic conditions for controllability with fewest leaders and proves that the number of edges needing weight adjustment equals the rank deficiency of the controllability matrix.
For an uncontrollable system, adding leaders and adjusting edge weights are two methods to improve controllability. In this paper, controllability of multi-agent systems under directed topologies is studied, especially on leader selection problem and weight adjustment problem. For a given system, necessary and sufficient algebraic conditions for controllability with fewest leaders are proposed. From another perspective, when leaders are fixed, controllability could be improved by adjusting edge weights, and therefore the system is supposed to be structurally controllable, which holds if and only if the communication topology contains a spanning tree. It is also proved that the number of fewest edges needed to be assigned on new weights equals the rank deficiency of controllability matrix. An algorithm on how to perform weight adjustment is presented. Simulation examples are provided to illustrate the theoretical results.