Overview
- Presents the aspects of control that can help anyone to have a synthetic view of control theory and its process-industrial applications, in a single book
- Contains step-by-step processes for an easier understanding
- Illustrates control methods applicable to industrial processes with practical examples
- Includes supplementary material: sn.pub/extras
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Table of contents (22 chapters)
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Front Matter
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Multivariable Control
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Front Matter
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Discrete-Time Identification
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Front Matter
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Discrete Time Control
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Front Matter
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Keywords
- Chemical Engineering
- Computer-Aided Design (CAD)
- Process Identification
- Model Predictive Control
- Process Modelling
- Nonlinear Control
- State-space Control
- Transfer Functions
- algorithm
- algorithms
- calculus
- model
- modeling
- process engineering
- reading
- Process Control
- quality control, reliability, safety and risk
About this book
This textbook introduces the topics and theories of process control step-by-step in increasing complexity, making the learning of detailed techniques and algorithms easier. Whether you are a student starting in control, or an industrial engineer who, at present, only has cursory contact with control, the initial classical approach to continuous control by transfer functions will be of enormous benefit. The more advanced material on discrete control and state-space control, as well as nonlinear control and observers, requires minimal previous knowledge, assisting you to move more easily to the use of high-performance techniques.
A range of identification and control methods applicable to industrial processes are accompanied by practical examples, allowing readers to learn the subject both broadly and in depth. The expanded second edition of Process Control explores and introduces detailed topics, such as:
- new sections on tuning rules for feedback controllers;
- new sequences for parameter identification such as multi-level and multisinusoidal sequences;
- improved presentation of optimal control with dynamic optimization and model predictive control;
- deeper coverage of applications of nonlinear geometric control;
- expanded coverage of state observers, introducing the unscented and ensemble Kalman filters, the particle filter, the bootstrap filter, and providing more profound treatment of the Luenberger observer and high-gain observer; and
- more examples of process control.Â
The book helps students to learn by using worked examples throughout the text, along with a downloadable solutions manual for the convenience of instructors. The broad coverage creates an important synthesis of the majority of aspects of process control, which gives a complete view of control theory and possible applications within the field, making the book accessible to engineers and academic researchers alike.
Authors and Affiliations
About the author
Jean-Pierre Corriou is an author of three books: Commande des Procédés, Lavoisier, Paris, 766 pages (three editions, 3rd 2012), Process Control, Theory and application, Springer, London, 2004, 752 pages, and Méthodes numériques et optimisation, Lavoisier, Paris, 2010, 442 pages. He is also author of 106 articles in national and international journals, as well as a reviewer for many journals, and an associate editor in the International Journal of Chemical Engineering and Mathematical Methods in Engineering.
Bibliographic Information
Book Title: Process Control
Book Subtitle: Theory and Applications
Authors: Jean-Pierre Corriou
DOI: https://doi.org/10.1007/978-3-319-61143-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-61142-6Published: 01 September 2017
Softcover ISBN: 978-3-319-87014-4Published: 09 September 2018
eBook ISBN: 978-3-319-61143-3Published: 17 August 2017
Edition Number: 2
Number of Pages: XXIII, 860
Number of Illustrations: 382 b/w illustrations
Topics: Control and Systems Theory, Industrial Chemistry/Chemical Engineering, Computational Intelligence, Quality Control, Reliability, Safety and Risk