{"title":"Distributed Control of Networked Systems with Nonlinear Dynamics and Coupling Constraints","authors":"Zonglin Liu, O. Stursberg","doi":"10.23919/ecc54610.2021.9654909","DOIUrl":null,"url":null,"abstract":"This paper introduces a distributed control strategy for constraint-coupled networked systems with nonlinear dynamics. Problems of this type are often too complicated to be solved in a centralized way, such that efficient distributed solution is required. The proposed method first casts the global problem into a mixed-integer programming (MIP) problem, and then solves the MIP problem by use of recently developed distributed solution schemes for this problem class. A reduction of the computational complexity compared to the centralized solution as well as the satisfaction of all constraints are guaranteed, and its efficiency is illustrated for a numeric example.","PeriodicalId":105499,"journal":{"name":"2021 European Control Conference (ECC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ecc54610.2021.9654909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper introduces a distributed control strategy for constraint-coupled networked systems with nonlinear dynamics. Problems of this type are often too complicated to be solved in a centralized way, such that efficient distributed solution is required. The proposed method first casts the global problem into a mixed-integer programming (MIP) problem, and then solves the MIP problem by use of recently developed distributed solution schemes for this problem class. A reduction of the computational complexity compared to the centralized solution as well as the satisfaction of all constraints are guaranteed, and its efficiency is illustrated for a numeric example.