{"title":"Concurrent design of an active vibration feedback controller and actuator/sensor selection for a composite plate","authors":"T. Singh, Wilm Decré, J. Swevers, G. Pipeleers","doi":"10.1109/ICC47138.2019.9123225","DOIUrl":null,"url":null,"abstract":"This article presents two approaches to simultaneously select optimal locations of sensors and actuators and design of a $\\mathcal{H}_{\\infty}$ dynamic output feedback controller. The first approach discussed in this paper is based on an iterative reweighted $\\ell_{1}$ norm regularization, an heuristic approach. The second approach converts the combined design into mixed boolean semi-definite programming optimization problem (MBSDP). A branch and bound (BNB) algorithm is adopted to solve this convex optimization problem to give a global optimal solution in terms of selection and control design. The two approaches are compared with an exhaustive search in terms of optimality and is applied to a vibration rejection control design of a composite plate.","PeriodicalId":231050,"journal":{"name":"2019 Sixth Indian Control Conference (ICC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Sixth Indian Control Conference (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC47138.2019.9123225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This article presents two approaches to simultaneously select optimal locations of sensors and actuators and design of a $\mathcal{H}_{\infty}$ dynamic output feedback controller. The first approach discussed in this paper is based on an iterative reweighted $\ell_{1}$ norm regularization, an heuristic approach. The second approach converts the combined design into mixed boolean semi-definite programming optimization problem (MBSDP). A branch and bound (BNB) algorithm is adopted to solve this convex optimization problem to give a global optimal solution in terms of selection and control design. The two approaches are compared with an exhaustive search in terms of optimality and is applied to a vibration rejection control design of a composite plate.