{"title":"Sampled-Data Systems: Maximal Sampling Period","authors":"Ho‐Lim Choi, J. Hammer","doi":"10.1109/ALLERTON.2019.8919712","DOIUrl":null,"url":null,"abstract":"This note presents a methodology for the design and the implementation of robust sampled-data systems with maximal sampling periods. The methodology applies to nonlinear input-affine systems. It is shown that optimal outcomes can be approximated by bang-bang controllers that are easy to design and implement.","PeriodicalId":120479,"journal":{"name":"2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ALLERTON.2019.8919712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This note presents a methodology for the design and the implementation of robust sampled-data systems with maximal sampling periods. The methodology applies to nonlinear input-affine systems. It is shown that optimal outcomes can be approximated by bang-bang controllers that are easy to design and implement.
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