Description: Model Predictive Control in the Process Industry Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Eduardo F. Camacho, Carlos A. Bordons Format: Paperback Publisher: Springer London Ltd, United Kingdom Imprint: Springer London Ltd ISBN-13: 9781447130109, 978-1447130109 Synopsis 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.
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Book Title: Model Predictive Control in the Process Industry
Number of Pages: 239 Pages
Publication Name: Model Predictive Control in the Process Industry
Language: English
Publisher: Springer London LTD
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2011
Type: Textbook
Item Weight: 403 g
Subject Area: Mechanical Engineering
Author: Eduardo F. Camacho, Carlos A. Bordons
Item Width: 155 mm
Series: Advances in Industrial Control
Format: Paperback