文献类型：期刊文献

英文题名：An Enhanced Distributed Optimization Subject to Multiple Constraints: A Case Study on Entire Ethylene Separation Process

作者：Liu, Bing[1];Du, Wenli[1,2];Li, Zhongmei[1]

机构：[1]East China Univ Sci & Technol, State Key Lab Ind Control Technol, Minist Educ, Shanghai 200237, Peoples R China;[2]Huzhou Inst Ind Control Technol, Huzhou 313099, Peoples R China

年份：2025

卷号：12

期号：2

起止页码：1227

外文期刊名：IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS

收录：;EI(收录号：20250717867667);WOS:【SCI-EXPANDED(收录号:WOS:001512536600017)】；

基金：This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB3305900, in part by the National Natural Science Foundation of China under Grant 62394343, in part by the Shanghai Committee of Science and Technology under Grant 22DZ1101500, in part by the Shanghai Rising-Star Program under Grant 24QA2706100, in part bythe Shanghai Science and Technology Planning Program under Grant 23DZ2201700, and in part by the Fundamental Research Funds for the Central Universities under Grant 222202517006.

语种：英文

外文关键词：Optimization; Production; Linear programming; Convergence; Network systems; Control systems; Separation processes; Distributed algorithms; Vectors; Approximation algorithms; Adapt-then-combine (ATC) scheme; enhanced distributed optimization; gradient tracking; multiple constraints; parameter projection strategy

摘要：This article studies an enhanced distributed optimization algorithm in an undirected topology based on local communication and computation to optimize the sum of local objective functions under multiple constraints. In particular, the adapt-then-combine distributed inexact gradient tracking algorithm (ATC-DIGing-MC) is developed for smooth and strongly convex local functions with multiple constraints. By implementing the adapt-then-combine scheme and using the gradient tracking technique, rapidity and flexibility can be obtained by the ATC-DIGing-MC with uncoordinated step-sizes. Subsequently, the parameter projection strategy is implemented to deal with realistic production limitations in the presence of multiple constraints. Meanwhile, rigorous theoretical proofs and convergence theorem are provided to verify the geometrical convergence rate of the ATC-DIGing-MC. Furthermore, the numerical experiments based on the entire ethylene separation process validate the superior performance of the ATC-DIGing-MC algorithm in terms of time and energy savings compared to established algorithms.