Examinando por Materia "Mathematical model"

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    Control of emissions in an internal combustion engine: first approach for sustainable design
    (Springer-Verlag France, 2016-08-01) Amaya, A.F.D.; Torres, A.G.D.; Acosta, D.A.; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de Procesos
    A mathematical model of emissions was developed in a Twingo D7F engine. The effects of variations in compression ratio, fuel/air equivalence ratio, spark advanced and combustion duration under pollutant emissions were studied. Analysis and data collection were performed in an engine bank using a data acquisition system integrated to an Interactive Engineering Environment. A control strategy was implemented to guarantee emissions reduction.
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    Control of emissions in an internal combustion engine: first approach for sustainable design
    (Springer-Verlag France, 2016-08-01) Amaya, A.F.D.; Torres, A.G.D.; Acosta, D.A.; Amaya, A.F.D.; Torres, A.G.D.; Acosta, D.A.; Universidad EAFIT. Departamento de Ingeniería de Procesos; Procesos Ambientales (GIPAB)
    A mathematical model of emissions was developed in a Twingo D7F engine. The effects of variations in compression ratio, fuel/air equivalence ratio, spark advanced and combustion duration under pollutant emissions were studied. Analysis and data collection were performed in an engine bank using a data acquisition system integrated to an Interactive Engineering Environment. A control strategy was implemented to guarantee emissions reduction.
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    Control of emissions in an internal combustion engine: first approach for sustainable design
    (Springer-Verlag France, 2016-08-01) Amaya, A.F.D.; Torres, A.G.D.; Acosta, D.A.; Amaya, A.F.D.; Torres, A.G.D.; Acosta, D.A.; Universidad EAFIT. Departamento de Ingeniería de Producción; Ingeniería, Energía, Exergía y Sostenibilidad (IEXS)
    A mathematical model of emissions was developed in a Twingo D7F engine. The effects of variations in compression ratio, fuel/air equivalence ratio, spark advanced and combustion duration under pollutant emissions were studied. Analysis and data collection were performed in an engine bank using a data acquisition system integrated to an Interactive Engineering Environment. A control strategy was implemented to guarantee emissions reduction.
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    Epidemic thresholds in SIR and SIIR models applying an algorithmic method
    (SPRINGER, 2008-01-01) Hincapié P., D.; Ospina G., J.; Afuwape, A.U.; Gómez A., R.D.; Hincapié P., D.; Ospina G., J.; Afuwape, A.U.; Gómez A., R.D.; Universidad EAFIT. Departamento de Ciencias; Lógica y Computación
    Epidemic thresholds were deduced and simulated from SIR models of Susceptible - Infected - Recovered individuals, through local stability analysis of the disease free and endemic equilibrium, with an algorithmic method. One and two types of infected individuals were modeled, considering the influence of sub clinical, undiagnosed or unrecognized infected cases in disease transmission. © 2008 Springer Berlin Heidelberg.
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    Modeling, simulation, and control of the spacecraft attitude dynamics
    (Universidad EAFIT, 2021-03-26) Ocampo, Carlos; Universidad EAFIT, School of Sciences, Department of Mathematical Sciences
    Based on the three-dimensional dynamics of a rigid body and Newton’s laws, the simplified dynamics of a spacecraft is studied and described through the systematical representation, mathematical modeling and also by a block diagram representation, to finally simulates the spacecraft dynamics in the Matlab programming environment called Simulink. It is paramount to be able to identify and recognize the attitude (often represented with the Euler angles) and position variables like the degrees of freedom (DOF) of the system and also the linear behavior. All this to conclude up about the non-linear behavior presented by the accelerations, velocities, positions and Euler angles (attitude) when those mentioned are plotted against time. In addition to this, the linearized system is found in order to facilitate the control analysis and stability analysis, at using linear analysis tools of Simulink and concepts like controllability and observability, reaching the point of determining under the previous concepts to proceed with the control design phase. Lastly, an uncertainty and sensitivity analysis is realized, by means the Monte-Carlo and the Linear regression method (in Simulink too), to find the torque like critical model input, since it has the greatest effect on the response variables in the system; and thus finally, to implement the Linear Quadratic Regulator (LQR) controller, at using the lqr Matlab function
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    Optimización de la tardanza total en máquinas paralelas : caso de estudio en la industria del café
    (Universidad EAFIT, 2023) López Duque, Santiago; Montoya, José Alejandro