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Ponencia
A stochastic predictive control approach to project risk management
(Elsevier, 2005)
This work shows a control policy based on MPC and applied to project risk management. MPC has been applied due the properties that presents such as the easy constraint treatment or the extension to multivariable case. The ...
Ponencia
Neural Network Based Min-Max Predictive Control. Application to a Heat Exchanger
(Elsevier, 2001)
Min-max model predictive controllers (MMMPC) have been proposed for the control of linear plants subject to bounded uncertainties. The implementation of MMMPC suffers a large computational burden due to the numerical ...
Artículo
A Robust Constrained Reference Governor Approach using Linear Matrix Inequalities
(Elsevier, 2009)
The purpose of this paper is to examine and provide a solution to the output reference tracking problem for uncertain systems subject to input saturation. As well-known, input saturation and modelling errors are very common ...
Artículo
Implementation of min–max MPC using hinging hyperplanes. Application to a heat exchanger
(Elsevier, 2004)
Min–max model predictive control (MMMPC) is one of the few control techniques able to cope with modelling errors or uncertainties in an explicit manner. The implementation of MMMPC suffers a large computational burden due ...
Ponencia
Applications of Model Predictive Controllers in a Sugar Factory
(Elsevier, 2000)
This paper presents two applications of Model Predictive Control in a sugar factory: temperature control in the diffusion process and density control in the wastewater treatment plant. The implementation is done using a ...
Ponencia
Model Predictive Controller for piecewise affine system
(Elsevier, 2005)
This paper presents a hybrid procedure to solve Model Predictive Controller (MPC) for Piecewise Affine System (PWA) The approach presented here belong to the class of Branch and Bound (B&B) methods. The procedure uses the ...
Ponencia
Enlarging the domain of attraction of MPC controller using invariant sets
(Elsevier, 2002)
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The useful way of guaranteeing stability of nonlinear MPC is to add a terminal constraint and a terminal cost ...
Ponencia
Modelling and predictive control of an olive oil mill
(2001)
This paper describes the modelling and predictive control of the extraction process in an olive oil mill. The work is focused on the thermal part of the process, where the raw material is prepared for the mechanical ...
Ponencia
Min-Max Predictive Control of a Pilot Plant using a QP Approach
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
The practical implementation of min-max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by using approximate solutions or upper bounds ...
Ponencia
Robust Model Predictive Control for Spacecraft Rendezvous with Online Prediction of Disturbance Bounds
(Elsevier, 2009)
A Model Predictive Controller is introduced to solve the problem of rendezvous of spacecraft, using the HCW model and including additive disturbances and line-of-sight constraints. It is shown that a standard MPC is not ...