Uncertain Multi-Agent Systems with Distributed Constrained Optimization Missions and Event-Triggered Communications: Application to Resource Allocation

Autor:	Sarafraz, Mohammad Saeed, Tavazoei, Mohammad Saleh
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
DOI:	10.1109/JSYST.2022.3181937
Popis:	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 state variables of the other agents. A distributed algorithm that guarantees cooperative solving of 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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.01685 Zobrazit plný text záznamu View this record from Arxiv