Improved branch and bound method for control structure screening

dc.contributor.authorCao, Yi-
dc.contributor.authorSaha, Prabirkumar-
dc.date.accessioned2011-11-13T23:24:22Z
dc.date.available2011-11-13T23:24:22Z
dc.date.issued2005-03-01T00:00:00Z-
dc.description.abstractThe main aim of this paper is to present an improved algorithm of “Branch and Bound” method for control structure screening. The new algorithm uses a best- first search approach, which is more efficient than other algorithms based on depth-first search approaches. Detailed explanation of the algorithms is provided in this paper along with a case study on Tennessee–Eastman process to justify the theory of branch and bound method. The case study uses the Hankel singular value to screen control structure for stabilization. The branch and bound method provides a global ranking to all possible input and output combinations. Based on this ranking an efficient control structure with least complexity for stabilizing control is detected which leads to a decentralized proportional contren_UK
dc.identifier.citationYi Cao and Prabirkumar Saha, Improved branch and bound method for control structure screening, Chemical Engineering Science, Volume 60, Issue 6, March 2005, Pages 1555-1564.-
dc.identifier.issn0009-2509-
dc.identifier.urihttp://dx.doi.org/10.1016/j.ces.2004.10.025-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/868
dc.language.isoen_UK-
dc.publisherElsevier Science B.V., Amsterdam.en_UK
dc.subjectControl structure screeningen_UK
dc.subjectBranch and bound methoden_UK
dc.subjectHankel singular valueen_UK
dc.subjectTennessee–Eastman processen_UK
dc.subjectProcess controlen_UK
dc.subjectStabilityen_UK
dc.subjectSystems engineeringen_UK
dc.subjectOptimizationen_UK
dc.titleImproved branch and bound method for control structure screeningen_UK
dc.typeArticle-

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