Distributed constrained optimization with nonconvex communication and input constraints
作者单位：School of AutomationCentral South University
会议名称：《第32届中国过程控制会议(CPCC2021)》
会议日期：2021年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学]
关 键 词：Distributed optimization Nonconvex communication and input constraints Nonuniform gradient gains Nonuniform convex constraints
摘 要：The aim of this paper is to study distributed constrained optimization with nonconvex communication and input constraints when nonuniform gradient gains,nonuniform convex state constraints and jointly-strongly-connected switching graphs are *** to the existence of nonconvex communication and input constraints and the optimization of the local objective functions,the edge weights are equivalent to be multiplied with time-varying factors,and the interaction balance is destroyed,resulting in the invalidness of the existing *** is shown that the optimization problem can be solved if the communication graphs are ***,a numerical example is given to illustrate the theoretical results.