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.

中文翻译：

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具有分布式约束优化任务和事件触发通信的不确定多代理系统：资源分配的应用

本文研究一类不确定非线性异构动态多智能体系统求解具有等式约束的分布式优化问题。假设具有不确定动态模型的每个代理对主要问题的信息有限，并且对其他代理状态信息的访问也有限。提出了一种保证代理协同解决约束优化问题的分布式算法。通过这种算法，代理不需要连续广播他们的数据。结果表明，所提出的算法可用于解决资源分配问题。