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Uncertain Multi-Agent Systems with Distributed Constrained Optimization Missions and Event-Triggered Communications: Application to Resource Allocation
arXiv - CS - Systems and Control Pub Date : 2020-04-03 , DOI: arxiv-2004.01685
Mohammad Saeed Sarafraz; Mohammad Saleh Tavazoei

This paper deals with solving distributed optimization problems with equality constraints by a class of uncertain nonlinear heterogeneous dynamic multi-agent systems. It is assumed that each agent with an uncertain dynamic model has limited information about the main problem and limited access to the information of the other agents' states. A distributed algorithm that guarantees cooperative solving the constrained optimization problem by the agents is proposed. Via this algorithm, the agents do not need to continuously broadcast their data. It is shown that the proposed algorithm can be useful in solving resource allocation problems.
更新日期:2020-04-06

 

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