{"title":"Distributed Controller Design for Discrete-Time Systems Via the Integration of Extended LMI and Clique-Wise Decomposition","authors":"Sotaro Fushimi, Yuto Watanabe, Kazunori Sakurama","doi":"arxiv-2409.07666","DOIUrl":null,"url":null,"abstract":"This study addresses a distributed controller design problem for\ndiscrete-time systems using linear matrix inequalities (LMIs). Sparsity\nconstraints on control gains of distributed controllers result in conservatism\nvia the convexification of the existing methods such as the extended LMI\nmethod. In order to mitigate the conservatism, we introduce a novel LMI\nformulation for this problem, utilizing the clique-wise decomposition method\nfrom our previous work on continuous-time systems. By reformulating the\nsparsity constraint on the gain matrix within cliques, this method achieves a\nbroader solution set. Also, the analytical superiority of our method is\nconfirmed through numerical examples.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study addresses a distributed controller design problem for
discrete-time systems using linear matrix inequalities (LMIs). Sparsity
constraints on control gains of distributed controllers result in conservatism
via the convexification of the existing methods such as the extended LMI
method. In order to mitigate the conservatism, we introduce a novel LMI
formulation for this problem, utilizing the clique-wise decomposition method
from our previous work on continuous-time systems. By reformulating the
sparsity constraint on the gain matrix within cliques, this method achieves a
broader solution set. Also, the analytical superiority of our method is
confirmed through numerical examples.