Model Predictive Control in the Process Industry by Eduardo F Camacho

Model Predictive Control in the Process Industry by Eduardo F Camacho

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Résumé

Model Predictive Control is an important technique used in the process control industries. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references.

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Model Predictive Control in the Process Industry by Eduardo F Camacho

Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.
SKU Non disponible
ISBN 13 9781447130109
ISBN 10 1447130103
Titre Model Predictive Control in the Process Industry
Auteur Eduardo F Camacho
Série Advances In Industrial Control
État Non disponible
Type de reliure Paperback
Éditeur Springer London Ltd
Année de publication 2011-11-20
Nombre de pages 239
Note de couverture La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note Non disponible