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dc.contributor.authorLoxton, Ryan
dc.contributor.authorChai, Q.
dc.contributor.authorTeo, Kok Lay
dc.contributor.editorHonglei Xu
dc.contributor.editorXinmin Yang
dc.contributor.editorYi Zhang
dc.date.accessioned2017-01-30T10:38:42Z
dc.date.available2017-01-30T10:38:42Z
dc.date.created2013-01-07T20:00:28Z
dc.date.issued2012
dc.identifier.citationLoxton, Ryan and Chai, Qinqin and Teo, Kok Lay. 2012. A class of max-min optimal control problems with applications to chromatography, in Honglei Xu, Xinmin Yang and Yi Zhang (ed), Proceedings of the 5th International Conference on Optimization and Control with Applications, Dec 4-8 2012. Beijing, China: COC Publications, Curtin University.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/4363
dc.description.abstract

In this paper, we consider a class of non-standard optimal control problems in which the objective function is in max-min form and the state variables evolve over different time horizons. Such problems arise in the control of gradient elution chromatography—an industrial process used to separate and purify multi-component chemical mixtures. We develop a computational method for solving this class of optimal control problems based on the control parameterization technique, a time-scaling transformation, and a new exact penalty method.

dc.publisherCOC Publications, Curtin University
dc.titleA class of max-min optimal control problems with applications to chromatography
dc.typeConference Paper
dcterms.source.titleProceedings of the 5th International Conference on Optimization and Control with Applications
dcterms.source.seriesProceedings of the 5th International Conference on Optimization and Control with Applications
dcterms.source.conference5th International Conference on Optimization and Control with Applications
dcterms.source.conference-start-dateDec 4 2012
dcterms.source.conferencelocationBeijing, China
dcterms.source.placePerth, Australia
curtin.note

The complete Proceedings may be available via the url in the Related Links field

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curtin.accessStatusOpen access


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