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Mostrando ítems 1-10 de 12
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
Min–max MPC using a tractable QP problem
(Elsevier, 2007)
Min–max model predictive controllers (MMMPC) suffer from a great computational burden that is often circumvented by using approximate solutions or upper bounds of the worst possible case of a performance index. This paper ...
Ponencia
A Java based simulation for basic control
(Elsevier, 2006)
In this paper we present a java based simulator for control education in basiccourses. The application has been developed using the well known tool Easy JavaSimulation.The objective of the application is ...
Ponencia
Linealidad a trozos de la ley de Control Min-Max MPC con norma cuadrática e incertidumbres acotadas
(CEA - Comité Español de Automática, 2001)
En este trabajo se demuestra como la ley de control Min Max MPC con una función de coste cuadrática y de horizonte finito resulta ser una ley de control lineal a trozos, cuandos e tienen en cuenta incertidumbres aditivas ...
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 ...
Tesis Doctoral
Ponencia
Feedback control ideas for call center staffing
(Taylor & Francis, 2009)
Call centers are nowadays a widespread solution to deal with customer support and as platform for different kind of business. Call center staffing is crucial to provide adequate service levels at acceptable costs. The task ...
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 ...
Artículo
A new vertex result for robustness problems with interval matrix uncertainty
(Elsevier, 2008)
This paper1 addresses a family of robustness problems in which the system under consideration is affected by interval matrix uncertainty. The main contribution of the paper is a new vertex result that drastically reduces ...
Ponencia
Computationally efficient min-max MPC
(Elsevier, 2005)
Min-Max MPC (MMMPC) controllers (Campo and Morari, 1987) suffer from a great computational burden that is often circumvented by using upper bounds of the worst possible case of a performance index. These upper bounds are ...