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A population model-based linear-quadratic Gaussian compensator for the control of intravenously infused alcohol studies and withdrawal symptom prophylaxis using transdermal sensing
Yao, Mengsha Luczak, Susan E. Saldich, Emily B. Rosen, I. Gary
Yao, Mengsha
Luczak, Susan E.
Saldich, Emily B.
Rosen, I. Gary
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Journal article
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2022-08-26
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Mathematics
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http://dx.doi.org/10.1002/oca.2934
Abstract
An output feedback linear-quadratic Gaussian compensator (combined controller and state estimator) for the regulation of intravenous-infused alcohol studies and treatment using a noninvasive transdermal alcohol biosensor is developed. The design is based on a population model involving an abstract semilinear parabolic hybrid reaction-diffusion system involving coupled partial and ordinary differential equations with random parameters known only up to their distributions. The scheme developed is based on a weak formulation of the model equations in an appropriately constructed Gelfand triple of Bochner spaces wherein the unknown random parameters are treated as additional spatial variables. Implementation relies on a Galerkin-based approximation and convergence theory and an abstract formulation involving linear semigroups of operators. The model is fit and validated using laboratory collected human subject data and the method of moments. The results of numerical simulations of controlled intravenous alcohol infusion are presented and discussed.
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Yao M, Luczak SE, Saldich EB, Rosen IG. A population model-based linear-quadratic Gaussian compensator for the control of intravenously infused alcohol studies and withdrawal symptom prophylaxis using transdermal sensing. Optim Control Appl Meth. 2024; 45(2): 594-622. doi:10.1002/oca.2934
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Wiley
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Optimal Control Applications and Methods, Vol. 45, Iss. 2
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