Model Predictive Control in the Process Industry (Paperback, Softcover reprint of the original 1st ed. 1995)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advances in Industrial Control
Release date:	November 2011
First published:	1995
Authors:	Eduardo F. Camacho • Carlos A. Bordons
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	239
Edition:	Softcover reprint of the original 1st ed. 1995
ISBN-13:	978-1-4471-3010-9
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-4471-3010-3
Barcode:	9781447130109

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