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Process Dynamics and Control Modeling for Control and Prediction 1st Edition by Brian Roffel,Ben Betlem ISBN 0470016639 9780470016633

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Process Dynamics and Control Modeling for Control and Prediction 1st Edition Brian Roffel Digital Instant Download

Author(s): Brian Roffel, Ben Betlem
ISBN(s): 9780470016633, 0470016639
Edition: 1
File Details: PDF, 6.90 MB
Year: 2007
Language: english
SKU: EB-4546598 Category: Tags: ,

Process Dynamics and Control Modeling for Control and Prediction 1st Edition by Brian Roffel, Ben Betlem – Ebook PDF Instant Download/Delivery: 0470016639, 9780470016633

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Product details:

ISBN 10: 0470016639

ISBN 13: 9780470016633 

Author: Brian Roffel, Ben Betlem

Offering a different approach to other textbooks in the area, this book is a comprehensive introduction to the subject divided in three broad parts. The first part deals with building physical models, the second part with developing empirical models and the final part discusses developing process control solutions. Theory is discussed where needed to ensure students have a full understanding of key techniques that are used to solve a modeling problem.

Hallmark Features:

  • Includes worked out examples of processes where the theory learned early on in the text can be applied.
  • Uses MATLAB simulation examples of all processes and modeling techniques- further information on MATLAB can be obtained from www.mathworks.com
  • Includes supplementary website to include further references, worked examples and figures from the book

This book is structured and aimed at upper level undergraduate students within chemical engineering and other engineering disciplines looking for a comprehensive introduction to the subject. It is also of use to practitioners of process control where the integrated approach of physical and empirical modeling is particularly valuable.

Table of contents:

1  Introduction to Process Modelling.

2  Process Modelling Fundamentals.

3  Extended Analysis of Modelling for Process Operation.

4  Design for Process Modelling and Behavioural Models.

5 Transformation Techniques.

6 Linearization of Model Equations.

7 Operating points.

8 Process Simulation.

9  Frequency Response Analysis.

References.

10  General Process Behaviour

11 Analysis of a Mixing Process.

12 Dynamics of Chemical Stirred Tank Reactors.

13 Dynamic Analysis of Tubular Reactors.

14 Dynamic Analysis of Heat Exchangers.

15 Dynamics of Evaporators and Separators.

16 Dynamic Modelling of Distillation Columns.

17 Dynamic Analysis of Fermentation Reactors

18 Physiological Modeling: Glucose-Insulin Dynamics and Cardiovascular Modelling.

19 Introduction to Black Box Modelling.

20 Basics of Linear Algebra.

21 Data Conditioning.

22 Principal Component Analysis

23 Partial Least Squares

24 Time-series Identification.

25  Discrete Linear and Non-linear State Space Modelling.

26 Model Reduction.

27  Neural Networks.

28  Fuzzy Modelling.

29  Neuro Fuzzy Modelling.

30  Hybrid Models.

31  Introduction to Process Control and Instrumentation.

32 Behaviour of Controlled Processes.

33 Design of Control Schemes.

34  Control of Distillation Columns.

35   Control of a Fluid Catalytic Cracker.

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Tags: Brian Roffel, Ben Betlem, Process Dynamics, and Control Modeling for, Control and Prediction