A stochastic optimal control approach to a mathematical drug administration model

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dc.contributor.authorLim, C.C.
dc.contributor.authorTeo, K.L.
dc.date.issued1989
dc.description.abstractIn this paper, a mathematical model is derived for an optimal control problem involving drug administration policy. The problem is stochastic in nature as there are uncertainties in both the drug effectiveness and initial physiological state. Furthermore, to avoid the undesirable side effects, the maximum allowable instantaneous and accumulative limits of the dosage must also be taken into account. The aim is to show that the resulting stochastic optimal control problem is equivalent to a deterministic optimal control problem and hence solvable by a recent optimal control software MISER. Numerical examples are included for illustration. © 1989.
dc.description.statementofresponsibilityC. C. Lim and K. L. Teo
dc.identifier.citationMathematical and Computer Modelling, 1989; 12(8):1009-1015
dc.identifier.doi10.1016/0895-7177(89)90207-0
dc.identifier.issn0895-7177
dc.identifier.orcidLim, C.C. [0000-0002-2463-9760]
dc.identifier.urihttp://hdl.handle.net/2440/85335
dc.language.isoen
dc.publisherMaxwell Pergamon Macmillan
dc.rights© 1989 Maxwell Pergamon Macmillan
dc.source.urihttp://dx.doi.org/10.1016/0895-7177(89)90207-0
dc.titleA stochastic optimal control approach to a mathematical drug administration model
dc.typeJournal article
pubs.publication-statusPublished

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