文献类型：期刊文献

英文题名：Distributed Optimization With Asynchronous Computation and Event-Triggered Communication

作者：Dong, Ziwei[1];Jin, Yaochu[2];Mao, Shuai[3];Ren, Wei[4];Du, Wei[1];Tang, Yang[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Westlake Univ, Sch Engn, Trustworthy & Gen AI Lab, Hangzhou 310030, Peoples R China;[3]Nantong Univ, Sch Elect Engn & Automat, Nantong 226019, Peoples R China;[4]Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA

年份：2025

卷号：70

期号：2

起止页码：1084

外文期刊名：IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录：;EI(收录号：20243516933197);WOS:【SCI-EXPANDED(收录号:WOS:001410256600039)】；

基金：This work was supported in part by the Key Program of National Natural Science Foundation of China under Grant 62136003, Grant 62233005, and Grant 62293502. The work of Shuai Mao was supported in part by the Natural Science Foundation of Universities in Jiangsu Province under Grant 23KJB120011 and in part by the Natural Science Foundation of Jiangsu Province under Grant BK20230605. The work of Wei Ren was supported by the National Science Foundation under Grant ECCS-2129949.

语种：英文

外文关键词：Optimization; Convergence; Topology; Heuristic algorithms; Directed graphs; Computational efficiency; Upper bound; Asynchronous scheme; distributed optimization; event-triggered scheme; linear convergence rate

摘要：The implementation of distributed optimization, depending on the application, imposes escalating demands on communication and computational synchronization, with the general desire for the robust performance in the face of computationally slow agents and the avoidance of unnecessary communication. In this article, we propose a distributed algorithm with asynchronous computation and event-triggered communication (DAAET) that enables the nodes to flexibly determine their update and information transmission instants. DAAET achieves compatibility with nodes operating at varying computation frequencies and accomplishes a reduction in both wall time and communication costs. Meanwhile, this article proposes a model reconstruction technique to handle disconnectivity arising from the asynchronous implementation of the event-triggered mechanism. Theoretical analysis demonstrates the algorithm's linear convergence to the global optimum under relaxed conditions. The effectiveness and advantages of our approach are demonstrated through a set of examples, showcasing its potential for practical applications.