2015
DOI: 10.1021/acs.iecr.5b00844
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Abstract: Self-optimizing control (SOC) constitutes an important class of control strategies for real-time optimization (RTO) of chemical plants, by means of selecting appropriate controlled variables (CVs). Within the scope of SOC, this paper develops a CV selection methodology for a global solution which aims to minimize the average economic loss across the entire operation space. A major characteristic making the new scheme different from existing ones is that each uncertain scenario is independently considered in th… Show more

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Cited by 38 publications
(58 citation statements)
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“…In the following, a short introduction will be given concerning this new method. For more detailed derivations and discussions, readers are referred to Ye et al…”
Section: Self‐optimizing Control Of Continuous Processesmentioning
confidence: 99%
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“…In the following, a short introduction will be given concerning this new method. For more detailed derivations and discussions, readers are referred to Ye et al…”
Section: Self‐optimizing Control Of Continuous Processesmentioning
confidence: 99%
“…By substituting the obtained results, i.e. L=false(Hfalse(boldyopt+nfalse)false)TboldJccHfalse(boldyopt+nfalse) into Equation , the average loss can be derived as follows: Lav=Efalse(Ldfalse)+Efalse(Lnfalse) where: Ld=12false(boldyoptfalse)TboldHTboldJccHboldyopt, Ln=12italictrfalse(boldW2boldHTboldJccHfalse) where italictrfalse(·false) stands for the trace of a matrix and boldW2normalEfalse(boldnnTfalse) is the covariance matrix of the measurement errors. Here, Ld is considered as the loss induced by disturbances boldd while Ln is caused by measurement errors.…”
Section: Self‐optimizing Control Of Continuous Processesmentioning
confidence: 99%
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