{"title":"MISER3:Solving optimal control problems—an update","authors":"L.S. Jennings, M.E. Fisher, K.L. Teo, C.J. Goh","doi":"10.1016/0961-3552(91)90016-W","DOIUrl":null,"url":null,"abstract":"<div><p>Dynamic optimization problems occur often in all fields of engineering and management science. The two previous versions of the MISER software for solving constrained optimal control problems, while proving successful on many problems, did have some drawbacks. These are outlined in this paper and the numerical analysis for correcting these problems is also outlined. The approach is one of control parameterization, expressing each control as a linear combination of simple basis functions which makes for efficiencies in the computation.</p></div>","PeriodicalId":100044,"journal":{"name":"Advances in Engineering Software and Workstations","volume":"13 4","pages":"Pages 190-196"},"PeriodicalIF":0.0000,"publicationDate":"1991-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0961-3552(91)90016-W","citationCount":"69","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software and Workstations","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/096135529190016W","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 69
Abstract
Dynamic optimization problems occur often in all fields of engineering and management science. The two previous versions of the MISER software for solving constrained optimal control problems, while proving successful on many problems, did have some drawbacks. These are outlined in this paper and the numerical analysis for correcting these problems is also outlined. The approach is one of control parameterization, expressing each control as a linear combination of simple basis functions which makes for efficiencies in the computation.
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