文章基本信息

标题：A Distributed Primal Decomposition Scheme for Nonconvex Optimization
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作者：Andrea Camisa ; Giuseppe Notarstefano
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：20
页码：315-320
DOI：10.1016/j.ifacol.2019.12.174
语种：English
出版社：Elsevier
摘要：In this paper, we deal with large-scale nonconvex optimization problems, typically arising in distributed nonlinear optimal control, that must be solved by agents in a network. Each agent is equipped with a local cost function, depending only on a local variable. The variables must satisfy privatenonconvexconstraints and global coupling constraints. We propose a distributed algorithm for the fast computation of a feasible solution of the nonconvex problem in finite time, through a distributed primal decomposition framework. The method exploits the solution of a convexified version of the problem, with restricted coupling constraints, to compute a feasible solution of the original problem. Numerical computations corroborate the results.
关键词：KeywordsDistributed optimizationMPCmulti-agent systems