Distributed Real-Time Optimal Resource Allocation over a Strongly Connected and Weight-Balanced Directed Network
简介：Resource allocation plays a crucial role in the reliable operation of large-scale multi-agent systems,particularly when the operating environments and the optimization goals are time-varying.This paper investigates a distributed real-time resource allocation problem over a directed communi-cation network.The global objective is to minimize the sum of time-varying local costs subject to a time-varying resource allocation constraint.The time-varying nature of both the local cost functions and the resource allocation constraint is modeled by an exosystem.To address the combined difficul-ties of time-varying optimization and directed information flow,a distributed algorithm is designed for each agent that only utilizes the information of its own cost function and the information obtained through a network represented by a strongly connected and weight-balanced digraph.The distributed algorithm contains a distributed estimator that estimates global information involving all agents.It is proven that the proposed method achieves exponential convergence of all agents' decisions toward the time-varying optimal solution with any pre-specified level of accuracy.Simulation studies involving distributed energy resources in a virtual power plant further demonstrate the practical effectiveness of the algorithm.展开
学者：SHEIKHAHMADIHêminXieYijingLinZongli
关键词：directed graphdistributed optimizationresource allocationtime-varying optimization
在线出版日期：2026-05-14 （网站首发日期）
