Encontrados 9 documentos, a visualizar página 1 de 1
Efficient Optimization Algorithm for Space-Variant Mixture of Vector Fields
Nascimento, Jacinto C.; Barão, Miguel; Marques, Jorge S.; Lemos, João M.This paper presents a new algorithm for trajectory classifi- cation of human activities. The presented framework uses a mixture of parametric space-variant vector fields to describe pedestrian’s trajecto- ries. An advantage of the proposed method is that the vector fields are not constant and depend on the pedestrian’s localization. This means that the switching motion among vector fields may occur at any image...
Alignment of velocity fields for video surveillance
Marques, Jorge S.; Barão, Miguel; Lemos, João M.Velocity fields play an important role in surveillance since they describe typical motion behaviors of video objects (e.g., pedestrians) in the scene. This paper presents an algorithm for the alignment of velocity fields acquired by different cameras, at different time intervals, from different viewpoints. Velocity fields are aligned using a warping function which maps corresponding points and vectors in both f...
Alignment of velocity fields for video surveillance
Marques, Jorge S.; Barão, Miguel; Lemos, João M.Velocity fields play an important role in surveillance since they describe typical motion behaviors of video objects (e.g., pedestrians) in the scene. This paper presents an algorithm for the alignment of velocity fields acquired by different cameras, at different time intervals, from different viewpoints. Velocity fields are aligned using a warping function which maps corresponding points and vectors in both f...
A control Lyapunov function approach to Adaptive Control of HIV-1 Infection
Lemos, João M.; Barão, Miguel José SimõesThis paper presents an algorithm for nonlinear adaptive control of the viral load in HIV-1 infection. The infection model considered is a reduced complexity nonlinear state-space model with two state variables, that represent the plasma concentration of uninfected and infected CD4+ T-cells of the human immune system. The viral load is assumed to be proportional to the concentration of infected cells. First, a c...
Optimal Control for Vehicle Cruise Speed Transfer
Jorge, Tiago R.; Lemos, João M.; Barão, MiguelThe contribution of this paper consists in a procedure to solve the optimal cruise control problem that consists in transferring the car velocity between two specified values, in a fixed interval of time, with minimum fuel consumption. The solution is obtained by applying a recursive numerical algorithm that provides an approximation to the condition provided by Pontryagin’s Optimum Principle. This solution is ...
Hybrid Dynamic Optimization for Cruise Speed Control
Jorge, Tiago R.; Lemos, João M.; Barão, Miguel; Bemporad, AlbertoThe cruise control problem of transferring the speed of a vehicle between two values in a fixed interval of time using a predefined sequence of gears is solved in this paper. This is a hybrid dynamic optimization problem since the control variables include both a continuous variable (fuel flow) and a discrete variable (the gear to apply at each instant). The solution is given in the form of a hybrid optimal con...
Nonlinear and Adaptive Control of a HIV-1 Infection Model
Lemos, João M.; Barão, MiguelThis paper presents algorithms for nonlinear and adaptive control of the viral load in a HIV-1 infection model. The model considered is a reduced complexity nonlinear state-space model with two state variables, representing the plasma concentration of un-infected and infected CD4+ T-cells of the human immune system. The viral load is assumed to be proportional to the concentration of infected cells. First, a ch...
An efficient Kullback-Leibler optimization algorithm for probabilistic control ...
Barao, Miguel; Lemos, Joao M.This paper addresses the problem of iterative optimization of the Kullback-Leibler (KL) divergence on discrete (finite) probability spaces. Traditionally, the problem is formulated in the constrained optimization framework and is tackled by gradient like methods. Here, it is shown that performing the KL optimization in a Riemannian space equipped with the Fisher metric provides three major advantages over the s...
Experience of a predictive adaptive controller on pilot and industrial plants w...
Lemos, João M.; Rato, Luís; Silva, Rui Alexandre Nunes NevesThe existing experience on using MUSMAR, a predictive adaptive controller, on industrial and large scale pilot plants with transport phenomena is discussed. The processes to control have been selected because their dynamics depends not only on time, but also on space, being therefore described by partial differential equations, and implying increase difficulties for the controller. Case studies on an industrial ...
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