Distributed control of multi-agent systems over unknown communication networks using extremum seeking

摘要

Highlights?The manuscript proposes a novel distributed extremum seeking control for the solution of distributed optimization problems.?The optimization is solved over an unknown communication network in which each agent of the network has access to a local cost measurement.?The optimization problem achieves the consensus of all agents to the minimizer of the sum of the local costs.?A detailed convergence analysis of the network optimization problem is provided.AbstractIn this paper, the solution of large-scale real-time optimization problems of multi-agent systems (MAS) is tackled in a distributed and a cooperative manner without the requirement of exact knowledge of network connectivity. Each agent in the communication network measures a local disagreement cost in addition to its local cost. The agents must work collaboratively to ensure that the system's unknown overall cost (i.e., the sum of the l