论文标题
不确定的多机构系统具有分布式约束优化任务和事件触发的通信：对资源分配的应用
Uncertain Multi-Agent Systems with Distributed Constrained Optimization Missions and Event-Triggered Communications: Application to Resource Allocation
论文作者
论文摘要
本文讨论了通过一类不确定的非线性异质动态多代理系统来解决分布式优化问题，并通过平等约束。假定每个具有不确定动态模型的代理具有有限的有关主要问题的信息，并且访问其他代理的状态变量信息的信息有限。提出了一种分布式算法，可以保证代理商对约束优化问题进行合作解决。通过该算法，代理不需要不断广播其数据。结果表明，所提出的算法对于解决资源分配问题可能是有用的。
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.
