Description
Book SynopsisOffering 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.
Table of ContentsForeword. Preface.
Acknowledgement.
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.
Appendix A. Modelling an Extraction Process.
A1: Problem Analysis.
A2: Dynamic Process Model Development.
A3 Dynamic Process Model Analysis.
A4 Dynamic Process Simulation.
A5: Process Control Simulation.
Hints.
Index.
