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Ítem Control multifrecuencia en tiempo real(Fondo Editorial Universidad EAFIT, 2003-12-01) VELEZ, CARLOS MARIO; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem Ideas y aplicaciones de los sistemas de control multifrecuencia(2004-06-01) VELEZ, CARLOS MARIO; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem Control Multifrecuencia en Tiempo Real Utilizando Herramientas CACSD(Universitat Politecnica de Valencia, 2004-06-01) VELEZ, CARLOS MARIO; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem Diseño y aplicación del control multifrecuencia con un esquema de muestreo irregular(Fondo Editorial Universidad EAFIT, 2004-10-01) VELEZ, CARLOS MARIO; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem Multirate control of an unmanned aerial vehicle(World Scientific and Engineering Academy and Society (WSEAS) Press, 2005-01-01) Vélez S., C.M.; Agudelo, A.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThe application of multirate sampling to the control of an unmanned aerial vehicle (a mini-helicopter robot) using CACSD tools, developed specially for that goal, is presented. Multirate control is tested via simulation over the Matlab/Simulink mini-helicopter model, which is briefly described. A multirate modeling method is presented, which is the base of a CACSD tool for the modeling, simulation and real-time code generation of multirate control systems - the Multirate Control Toolbox (MCT).Ítem Control and parameter estimation of a mini-helicopter robot using rapid prototyping tools(World Scientific and Engineering Academy and Society (WSEAS) Press, 2006-01-01) Vélez S., C.M.; Agudelo, A.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThis paper shows the control and parameter estimation of a mini-helicopter robot using a rapid prototyping environment based on Matlab/Simulink. The parameter estimation task is facilitated by the availability of a block-based visual simulation model and its integration in a general Matlab environment, with the feasibility of use of many other tools. The environment is integrated by modules which use common Matlab tools (ground control station, linearization, parameter estimation, heuristic identification) and own modules developed specifically for simulation, state estimation and multirate control. An example is presented in a software-in-the-loop context, showing all possibilities of the software environment including supervisory, estimation, linearization, and control tasks.Ítem Combining fuzzy, PID and regulation control for an autonomous mini-helicopter(ELSEVIER SCIENCE INC, 2007-05-15) Sanchez, Edgar N.; Becerra, Hector M.; Velez, Carlos M.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThis paper reports on the synthesis of different flight controllers for an X-Cell mini-helicopter. They are developed on the basis of the most realistic mathematical model currently available. Two hybrid intelligent control systems, combining computational intelligence methodologies with other control techniques, are investigated. For both systems, Mamdani-type fuzzy controllers determine the set points for altitude/attitude control. These fuzzy controllers are designed using a simple rule base. The first scheme consists of conventional SISO PID controllers for z-position and roll, pitch and yaw angles. In the second scheme, two of the previous PID controllers are used for roll and pitch, and a linear regulator is added to control altitude and yaw angle. These control schemes mimic the action of an expert pilot. The designed controllers are tested via simulations. It is shown that the designed controllers exhibit good performance for hover flight and control positioning at slow speed. © 2006 Elsevier Inc. All rights reserved.Ítem Control based on numerical methods and recursive Bayesian estimation in a continuous alcoholic fermentation process(2009-01-01) QUINTERO, OLGA LUCIA; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem Robust-control-based controller design for a mobile robot(Springer Netherlands, 2009-01-01) QUINTERO, OLGA LUCIA; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem A linear-interpolation-based controller design for trajectory tracking of mobile robots(Elsevier Ltd., 2010-01-01) QUINTERO, OLGA LUCIA; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem Transition management for the smooth flight of a small autonomous helicopter(Springer Netherlands, 2010-04-01) Agudelo-Toro, Andres Y.; Velez, Carlos M.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThis work is centered in the definition of a transition management system for a small autonomous helicopter based on trajectory smoothing and a finite state machine (FSM). A smooth flight schedule decreases transients originated by direction changes and flight mode transitions (e.g., horizontal flight to hover mode). Although previous works have presented trajectory generation and FSM oriented controls, no previous studies have mixed these approaches in a single framework together with speed transitions. The proposed methods are validated in simulation with a realistic dynamic model of a small helicopter. © 2009 Springer Science+Business Media B.V.Ítem Transition Management for the Smooth Flight of a Small Autonomous Helicopter(SPRINGER, 2010-04-01) Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem arboles binomiales para la valoración de opciones sobre procesos derivados de la ecuacion diferencial estocástica autónoma(Fondo Editorial Universidad EAFIT, 2010-12-01) Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem European Call option pricing by the Adomian decomposition method(Universidad EAFIT, 2011) Rodriguez, S.; Marin, Freddy; Rodriguez, S.; Marin, Freddy; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoAn option is a security that gives its owner the right to trade in a fixed number of shares of a specified common stock at a fixed price at any time on or before a given date. The act of making this transaction is referred to as exercising the option. The fixed price is termed the strike price, and the given date, the expiration date. A call option gives the right to buy the shares; a put option gives the right to sell the shares.Ítem Drug dosage individualization based on a random-effects linear lodel(TAYLOR & FRANCIS INC, 2012-01-01) Diaz, Francisco J.; Cogollo, Myladis R.; Spina, Edoardo; Santoro, Vincenza; Rendon, Diego M.; de Leon, Jose; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThis article investigates drug dosage individualization when the patient population can be described with a random-effects linear model of a continuous pharmacokinetic or pharmacodynamic response. Specifically, we show through both decision-theoretic arguments and simulations that a published clinical algorithm may produce better individualized dosages than some traditional methods of therapeutic drug monitoring. Since empirical evidence suggests that the linear model may adequately describe drugs and patient populations, and linear models are easier to handle than the nonlinear models traditionally used in population pharmacokinetics, our results highlight the potential applicability of linear mixed models to dosage computations and personalized medicine. Copyright © Taylor & Francis Group, LLC.Ítem Control centers design for ergonomics and safety.(IOS Press, 2012-01-01) Quintana L; Lizarazo C; Bernal O; Cordoba J; Arias C; Monroy M; Cotrino C; Montoya O; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThis paper shows the general design conditions about ergonomics and safety for control centers in the petrochemical process industry. Some of the topics include guidelines for the optimized workstation design, control room layout, building layout, and lighting, acoustical and environmental design. Also takes into account the safety parameters in the control rooms and centers design. The conditions and parameters shown in this paper come from the standards and global advances on this topic on the most recent publications. And also the work was supplemented by field visits of our team to the control center operations in a petrochemical company, and technical literature search efforts. This guideline will be useful to increase the productivity and improve the working conditions at the control rooms.Ítem Detection of Fraudulent Transactions through a Generalized Mixed Linear Model.(Fondo Editorial Universidad EAFIT, 2012-02-01) Cogollo M; Gomez, Jackelyne; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThe detection of bank frauds has been a topic in which many financial sector companies have invested more time and resources to mitigate it and thus stay safe, howeverÍtem Drug Dosage Individualization Based on a Random-Effects Linear Model(TAYLOR & FRANCIS INC, 2012-03-01) COGOLLO, MYLADIS ROCIO; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoÍtem Pablo Palacio o de las clave para resolver una obsesión(2012-07-01) Salazar Martinez, Carlos Andres; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoEn la década de 1920 la literatura latinoamericana tenía como influencia fundamental los discursos de índole naturalista y antropológica.Ítem Numerical-analytical solutions of predator-prey models(World Scientific and Engineering Academy and Society, 2013-01-01) González-Parra Gilberto, G.; Arenas, A.J.; Cogollo, M.R.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThis paper deals with the construction of piecewise analytic approximate solutions for nonlinear initial value problems modeled by a system of nonlinear ordinary differential equations. In real world several biological and environmental parameters in the predator-prey model vary in time. Thus, non-autonomous systems are important to be studied. We show the effectiveness of the method for autonomous and non-autonomous predator-prey systems. The method we have used is called the differential transformation method which has some suitable properties such as accuracy, low computational cost, easiness of implementation and simulation as well as preserving properties of the exact theoretical solution of the problem. The accuracy of the method is checked by numerical comparison with fourth-order Runge-Kutta results applied to several predator-prey examples.