Results 251 to 260 of about 316,229 (292)

Mathematical modelling and optimal control of solar dryers

Mathematical Modelling of Systems, 1997
A mathematical model of the solar dryers designed and used in Cuba is presented and discussed. The model consists of a set of ordinary nonlinear differential equations which describe the behaviour of the main parts of the dryer. Using the model, an optimal control problem is formulated and solutions within the class of piecewise constant controls are ...
Gallestey, E., Paice, A. D. B.
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Mathematical modeling and control optimization for energy internet

2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 2017
With the development of Energy Internet in recent years, the rapid promotion of new energy emerging facilities highlights the trend of the future energy interconnection. Under the system architecture, renewable energy and grid, energy storage, energy deployment and transportation problems require a flexible grid scheduling strategy to deal with complex
Yulin Qian, Yang Zhang, Yuanhe Tang, Pengfei Ye   +3 more
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Mathematical modeling and optimal control of corruption dynamics

Asian-European Journal of Mathematics, 2018
The problem of corruption is of serious concern in all the nations, more so in the developing countries. This paper presents the formulation of a corruption control model and its analysis using the theory of differential equations. We found the equilibria of the model and stability of these equilibria are discussed in detail.
Athithan, S., Ghosh, Mini, Li, Xue-Zhi
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Mathematical Modeling and Optimal Control for Two Biological Systems

2023
Global development post industrialization has accelerated industrial production, improved the economy, ushered in technological innovation, and improved the quality of life for many. Conversely, it has caused rising emissions, loss of biodiversity, increasing infertility, and an overall unsustainable world.
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Mathematical approaches to controlling COVID-19: optimal control and financial benefits

Mathematical Modelling and Numerical Simulation with Applications
The global population has suffered extensively as an effect of the coronavirus infection, with the loss of many lives, adverse financial consequences, and increased impoverishment. In this paper, we propose an example of the non-linear mathematical modeling of the COVID-19 phenomenon.
Saida Id Ouaziz, Mohammed El Khomssi
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Nonlinear Problems in Mathematical Programming and Optimal Control

2009
Necessary conditions of optimality are obtained for general mathematical programming problems on a product space. The cost functional is locally Lipschitz and the constraints are expressed as inclusion relations with unbounded linear operators and multivalued term.
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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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Discrete Optimal Control, Mathematical Programming and Variational Inequality Problems

1994
In this chapter, we present more mathematical background which is necessary for modeling and solution of dynamic transportation network problems. This chapter will cover discrete optimal control, mathematical programming and variational inequality problems. First, we introduce the discrete optimal control problem (OCP). To simplify our presentation, we
Bin Ran, David E. Boyce
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Mathematical modelling and optimal control methods in water pollution

1997
In the last years increasing attention has been paid to reduce the environmental impact of domestic and industrial wastewater discharges. As the objective of non-polluting effluent disposal alternatives is limited by technical or financial factors, an outfall is sometimes the only feasible solution (see Quetin & De Rouville [1986]).
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Optimal Control of Soil Venting: Mathematical Modeling and Applications

1999
1 Introduction.- 1.1 Background and Problem.- 1.2 Objectives.- 1.2.1 Mathematical and Numerical Objectives.- 1.2.2 Objectives of the Optimization.- 2 Modeling Soil Venting.- 2.1 Physical Basis of the Venting Technique.- 2.2 Simulation Models.- 2.2.1 Soil Gas Transport Models.- 2.2.2 Phase Mass Transfer Models.- 2.2.3 Multi-phase Permeability Models.- 2.
Horst H. Gerke, Youcef Kelanemer, Ulrich Hornung, Marián Slodička, Stephan Schumacher   +4 more
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