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Topics in pharmacokinetics, III: Repeated dosage and impulse control

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TLDR
Some novel types of control processes arising in the study of optimal drug administration are considered and are treated by dynamic programming techniques.
Abstract
Some novel types of control processes arising in the study of optimal drug administration are considered. These are treated by dynamic programming techniques.

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Input-to-state stability of impulsive and switching hybrid systems with time-delay

TL;DR: It is shown that, even if all the subsystems governing the continuous dynamics, in the absence of impulses, are not ISS/iISS, impulses can successfully stabilize the system in the ISS/ iISS sense, provided that there are no overly long intervals between impulses.
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Feedback control methods for drug dosage optimisation. Concepts, classification and clinical application.

TL;DR: A classification is proposed for dosage optimisation techniques which distinguishes between tight-loop and loose-loop methods depending on whether physician’s interaction is absent or included as part of the control step.
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Computer control systems and pharmacological drug administration: a survey

TL;DR: Clinical medicine, although basically a science apparently unrelated to control engineering, is being affected to such an extent that it is now possible to use available online control devices, especially during surgical operations and in intensive care units.
Journal ArticleDOI

Impulsive stabilization of stochastic functional differential equations

TL;DR: Both moment and almost sure exponential stability criteria are established using the Lyapunov–Razumikhin method and it is shown that an unstable stochastic delay system can be successfully stabilized by impulses.
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Microprocessor-based controller for pharmacodynamical applications

TL;DR: In this paper, an automatic drug delivery system for the purpose of keeping the output as close as possible to a desired value is presented, where the system input-output is first represented as an autoregressive model and a minimum variance controller is then designed to solve the control problem.
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