Saliendo a flote : el cine documental refleja la crisis económica

Las oscarizadas Bowling for Columbine o Inside Job son la prueba de que el género no está muerto. Cintas gestadas para dar respuesta a las incógnitas no desveladas a una sociedad que demanda saber los porqués del momento que les ha tocado vivir y en ocasiones padece

On the design of Robust tube-based MPC for tracking

17th IFAC World Congress (IFAC'08)Seoul, Korea, July 6-11This paper deals with the design procedure of the recently presented robust MPC for tracking of constrained linear systems with additive disturbances. This controller is based on nominal predictions and it is capable to steer the nominal predicted trajectory to any target admissible steady state, that is retaining feasibility under any set point change. By means of the notion of tube of trajectories, robust stability and convergence is achieved. The controller formulation has some parameters which provides extra degrees of freedom to the design procedure of the predictive controller. These allow to deal with control objectives such as disturbance rejection, output offset prioritization or enlargement of the domain of attraction. In this paper, output prioritization method, LMI based design procedures and algorithms for the calculation of invariant sets are presented. The proposed enhanced design of the MPC is demonstrated by an illustrative example

MPC for tracking of piece-wise constant referente for constrained linear systems

16th IFAC World Congress. Praga (República Checa) 03/07/2005Model predictive control (MPC) is one of the few techniques which is able to handle with constraints on both state and input of the plant. The admissible evolution and asymptotically convergence of the closed loop system is ensured by means of a suitable choice of the terminal cost and terminal contraint. However, most of the existing results on MPC are designed for a regulation problem. If the desired steady state changes, the MPC controller must be redesigned to guarantee the feasibility of the optimization problem, the admissible evolution as well as the asymptotic stability. In this paper a novel formulation of the MPC is proposed to track varying references. This controller ensures the feasibility of the optimization problem, constraint satisfaction and asymptotic evolution of the system to any admissible steady-state. Hence, the proposed MPC controller ensures the offset free tracking of any sequence of piece-wise constant admissible set points. Moreover this controller requires the solution of a single QP at each sample time, it is not a switching controller and improves the performance of the closed loop system

Cooperative distributed MPC for tracking

This paper proposes a cooperative distributed linear model predictive control (MPC) strategy for tracking changing setpoints, applicable to any finite number of subsystems. The proposed controller is able to drive the whole system to any admissible setpoint in an admissible way, ensuring feasibility under any change of setpoint. It also provides a larger domain of attraction than standard distributed MPC for regulation, due to the particular terminal constraint. Moreover, the controller ensures convergence to the centralized optimum, even in the case of coupled constraints. This is possible thanks to the warm start used to initialize the optimization Algorithm, and to the design of the cost function, which integrates a Steady-State Target Optimizer (SSTO). The controller is applied to a real four-tank plant

Control of Solar Power Systems: a survey

9th International Symposium on Dynamics and Controlof Process Systems (DYCOPS 2010)Leuven, Belgium, July 5-7, 20109This paper deals with the main control problems found in solar power systems and the solutions proposed in literature. The paper first describes the main solar power technologies, its development status and then describes the main challenges encountered when controlling solar power systems.Ministerio de Ciencia y Tecnología DPI2008-05818Ministerio de Ciencia y Tecnología DPI2007-66718-C04-04Junta de Andalucía P07-TEP-0272

Robust control of the distributed solar collector field ACUREX using MPC for tracking

17th IFAC World Congress 2008. Seoul (Korea). 06/07/2008This paper presents the application of a robust model predictive control for tracking of piece-wise constant references (RMPCT) to a distributed collector field, ACUREX, at the solar power plant of PSA (Solar Plant of Almería). The main characteristic of a solar power plant is that the primary energy source, solar radiation, cannot be manipulated. Solar radiation varies throughout the day, causing changes in plant dynamics and strong disturbances in the process. The real plant is assumed to be modeled as a linear system with additive bounded uncertainties on the states. Under mild assumptions, the proposed RMPCT can steer the uncertain system in an admissible evolution to any admissible steady state, that is, under any change of the set point. This allows us to reject constant disturbances compensating the effect of then changing the setpoint

An Educational plant based on the Quadruple-tank process

7TH IFAC SYMPOSIUM ON ADVANCES IN CONTROL. 21/06/2006. MADRIDThis paper presents an experimental tank system developed at the University ofSeville for process control education. This plant is based on the well known quadruple-tank process and some modifications have been done in order to obtain a wide rangeof applications. The quadruple tank process is a multivariable laboratory plant of inter-connected tanks that can be easily configured to exhibit the effect of multivariable zero(minimum and non-minimum phase) on the system behavior, as well as the effect of nonlinear dynamics, saturation, constraints, etc.In the real plant implementation, the original structure of the process has been modifiedto offer a wide variety of uses for both educational and research purposes.Thus, differentplants can be configured such as one single tank, two or three cascaded tanks, a mixtureprocess and hybrid dynamics. Moreover the dynamics parameters of each tank can be setup by tuning the cross-section of the outlet hole of the tank. Furthermore, the real plant hasbeen implemented using industrial instrumentation and a PLC for the low level control.Supervision and control of the plant is carried out in a computer by means of OPC (Olefor Process Control) which allows one to connect the plant with a wide range of controlprograms such as LabView, Matlab or industrial SCADA.Ministerio de Ciencia y Tecnología DPI 2004-0744

Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models

This paper describes our participation in the Rest-Mex 2023 Sentiment Analysis Task. We proposed an ensemble of (i) a cascade of transformer-based two-class classifiers biased to lowering the Mean Average Error in Polarity, and (ii) multi-class transformer-based classifiers for the prediction of the Type and Location of the messages. Our system achieved a sentiment track score of 0.719.This research has been funded by: the Generalitat Valenciana (Conselleria d’Educació, Investigació, Cultura i Esport), through the project NL4DISMIS: Natural Language Technologies for Dealing with dis- and misinformation (CIPROM/2021/021); MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR through the project ClearText