Mathematics - optimization and control

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Adaptive Controllers for Mathematical Optimization Models

2011
Adaptive model controllers are promising candidates for extending DSS for dynamic process planning problems. They are designed to feed back variations of model assumptions about the severity of a process control problem to the model base during the process control phase.
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Stochastic optimal control in mathematical finance

Communications in Optimization Theory
Summary: The general area of mathematical finance presents some interesting and challenging problems of \textit{stochastic optimal control}, which are typically of two distinct kinds, namely problems of \textit{mean-square minimization} and problems of \textit{utility maximization}. Often these optimal control problems are not especially well suited to
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Optimal control and mathematical models in epidemiology

2020
In this PhD thesis, we prove sufficient optimality conditions for delayed optimal control problems, by transforming them into equivalent non-delayed problems. Such transformation is done by considering a technique proposed by Guinn in 1976 and later promoted by Maurer and his collaborators.
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Mathematics based calculation and stemonitis inspired optimization algorithms for loss reduction and power solidity augmentation

International Journal of Systems Assurance Engineering and Management, 2022
, Kanagasabai Lenin
exaly

Mathematical innovations fostering the energy transition – Control and optimization