Adaptive optimizing control of chemical processes화학 공정의 적응 최적화 제어

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dc.contributor.advisorPark, Sun-Won-
dc.contributor.advisor박선원-
dc.contributor.authorPark, Jong-Chan-
dc.contributor.author박종찬-
dc.date.accessioned2011-12-13T02:00:28Z-
dc.date.available2011-12-13T02:00:28Z-
dc.date.issued1992-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=60321&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/30011-
dc.description학위논문(석사) - 한국과학기술원 : 화학공학과, 1992.2, [ vi, 68 p. ]-
dc.description.abstractAn optimizing control scheme is developed for multivariable constrained chemical processes. The scheme is based on a process model obtained from fundamental knowledge of the process to be controlled. The model is identified adaptively on-line and dynamic information from the model is used for on-line updating of the Internal Model Controller (IMC), which makes an adaptive IMC.Constrained steady state optimization is accomplished in an on-line application of Succesive Quadratic Programming (SQP) and is combined with the adaptive IMC. Our adaptive optimizing control scheme is tested on simulation studies. First, the development of the adaptive IMC scheme is described using SISO system and then the adaptive optimizing IMC scheme is described using MIMO system.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.titleAdaptive optimizing control of chemical processes-
dc.title.alternative화학 공정의 적응 최적화 제어-
dc.typeThesis(Master)-
dc.identifier.CNRN60321/325007-
dc.description.department한국과학기술원 : 화학공학과, -
dc.identifier.uid000901206-
dc.contributor.localauthorPark, Sun-Won-
dc.contributor.localauthor박선원-
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CBE-Theses_Master(석사논문)
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