| The solution of singular optimal control problems using the modified line-up competition algorithm with region-relaxing strategy. | |
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MedLine Citation:
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PMID: 19837404 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this study, singular optimal control problems are solved by line-up competition algorithm (LCA) under the framework of control parametrization. Two steps that promote the convergence quality of LCA are taken. One is to use normal (Gaussian) sampling policy to replace uniform sampling policy to accelerate initial convergence, while the other is to introduce region-relaxing strategy to enhance the refinement of solutions in final convergence. Four typical examples are given to illustrate the proposed algorithm. The results show that such modifications make LCA more robust and efficient in the solutions of singular optimal control problems. |
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Authors:
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Daim-Yuang Sun |
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Publication Detail:
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Type: Journal Article Date: 2009-10-17 |
Journal Detail:
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Title: ISA transactions Volume: 49 ISSN: 1879-2022 ISO Abbreviation: ISA Trans Publication Date: 2010 Jan |
Date Detail:
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Created Date: 2010-01-28 Completed Date: 2010-04-08 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0374750 Medline TA: ISA Trans Country: United States |
Other Details:
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Languages: eng Pagination: 106-13 Citation Subset: IM |
Copyright Information:
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2009 ISA. Published by Elsevier Ltd. All rights reserved. |
Affiliation:
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Department of Chemical and Materials Engineering, National Chin-Yi University of Technology, Taichung County, 411, Taiwan, ROC. dysun@mail.ncut.edu.tw |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence Data Interpretation, Statistical* Models, Statistical Software |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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