{"title":"Comparison of direct optimization algorithms for dynamic network flow control","authors":"M. Papageorgiou, R. Mayr","doi":"10.1002/OCA.4660090206","DOIUrl":null,"url":null,"abstract":"Several direct optimization algorithms for dynamic non-linear optimal control problems with bounded control inputs are reviewed. The algorithms are based on well-known conjugate gradient and variable metric methods for unconstrained optimization. Scaling is shown to improve the algorithms' performance considerably. Comparison of the algorithms is provided for a real-life example of sewer network flow control.","PeriodicalId":54672,"journal":{"name":"Optimal Control Applications & Methods","volume":"9 1","pages":"175-185"},"PeriodicalIF":2.0000,"publicationDate":"2007-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/OCA.4660090206","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimal Control Applications & Methods","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/OCA.4660090206","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 1
Abstract
Several direct optimization algorithms for dynamic non-linear optimal control problems with bounded control inputs are reviewed. The algorithms are based on well-known conjugate gradient and variable metric methods for unconstrained optimization. Scaling is shown to improve the algorithms' performance considerably. Comparison of the algorithms is provided for a real-life example of sewer network flow control.
期刊介绍：
Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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