Techniques of Model-Based Control [Paperback]

Coleman Brosilow (Author), Babu Joseph (Author)

Book Description

ISBN-10: 013028078X | ISBN-13: 978-0130280787 | Publication Date: April 13, 2002 | Edition: 1

Techniques of Model-Based Control is a practical guide to the latest advances in model based control for chemical process engineering. Focused on solving real-world problems, it covers continuous-time modeling, internal model control, IMC systems and design, 2DOF control, identification, predictive control, and much more.

Editorial Reviews

From the Back Cover

The state-of-the-art publication in model-based process control—by leading experts in the field.

In Techniques of Model-Based Control, two leading experts bring together powerful advances in model-based control for chemical-process engineering. Coleman Brosilow and Babu Joseph focus on practical approaches designed to solve real-world problems, and they offer extensive examples and exercises.

Coverage includes:

• The nature of the process-control problem and how model-based solutions help to solve it
• Continuous time modeling: time domain, Laplace domain, and FOPDT models
• Feedforward, cascade, override, and single-variable inferential control approaches
• One and two degree of freedom Internal Model Control
• Model State Feedback and PI/PID Implementations of IMC
• Tuning and synthesis of 1DF and 2DF IMC for process uncertainty
• Estimation and inferential control using multiple secondary measurements
• Basic and advanced techniques of model identification and model-predictive control

The appendices review the basics of Laplace transforms, feedback control, frequency response analysis, probability, random variables, and linear least-square regression.

From start to finish, Techniques of Model-Based Control offers the real-world insight that professionals need to identify and implement the best control strategies for virtually any process.

About the Author

COLEMAN BROSILOW, a recognized leader in the process-control field, received the 1989 AICHE Computing and Systems Technology Division Award for 25 years of influential, pioneering work in simulation of complex chemical processes and model-based control. He is a founder of ControlSoft, Inc. and served as Chairman of the Board from its founding in 1985 to 2001.

BABU JOSEPH is currently Edward D. Dicke Professor of Chemical Engineering at Washington University in St. Louis, where he teaches and does research in process control and related fields. He will be assuming the position of Chair, Chemical Engineering Department at the University of South Florida, in Tampa, in January of 2002. He is the author of Real Time Personal Computing (Prentice Hall) and co-editor of Wavelet Applications in Chemical Engineering (Kluwer-Academic). He has taught short courses for AIChE and is currently serving as a Director of the Computing and Systems Technology Division, on a three-year term. He can be found on the Web at joseph.wustl.edu

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Product Details

• Paperback: 704 pages
• Publisher: Prentice Hall; 1 edition (April 13, 2002)
• Language: English
• ISBN-10: 013028078X
• ISBN-13: 978-0130280787
• Product Dimensions: 9.3 x 7.3 x 1.3 inches
• Shipping Weight: 2.8 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,021,245 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

5.0 out of 5 stars Model-Based Control for Chemical-Process Engineering, July 8, 2006

By 

David De Sousa "The Automation and Control Guy" - See all my reviews

This review is from: Techniques of Model-Based Control (Paperback)

I found this book very helpful to review and understand the different techniques used to design and apply the algorithms needed to develop the model of a process to be controlled. It uses Matlab and Simulink as tools to reproduce examples on the text, but the authors also encourage the readers to use whichever tools they are more comfortable with.

The fact that the book focuses more in the model development process, different models structures, tuning and synthesis, rather than in the underlying theory was very appealing to me.

As an aid, in the appendices the following material is reviewed:
- Laplace transforms and blocks diagrams.
- Frecuency response methods.
- Linear least square regression.
- Probability theory and random variables.
- Matlab and Simulink software.

I am an Industrial Practitioner of Process Measurement & Control. I work in the Oil and Gas Industry as an Instrumentation, Automation and Process Control Engineer. My academic background is in electrical and electronics engineering, not in chemical engineering as might be the case of the usual reader of this book, but I have been working in the process industries for about 16 years, so I have been dealing with Chemical-Process Control issues in a day-to-day basics. I found this book to be a very useful reference to gain a better understanding of Model-Based Control Applications.