- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
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.
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Yes, you can access Process Dynamics and Control by Brian Roffel,Ben Betlem in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Chemical & Biochemical Engineering. We have over one million books available in our catalogue for you to explore.
Information
Edition
1Table of contents
- Cover
- CONTENTS
- FOREWORD
- PREFACE
- ACKNOWLEDGEMENT
- 1: Introduction to Process Modeling
- 2: Process Modeling Fundamentals
- 3: Extended Analysis of Modeling for Process Operation
- 4: Design for Process Modeling and Behavioral Models
- 5: Transformation Techniques
- 6: Linearization of Model Equations
- 7: Operating points
- 8: Process Simulation
- 9: Frequency Response Analysis
- 10: General Process Behavior
- 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 Modeling of Distillation Columns
- 17: Dynamic Analysis of Fermentation Reactors
- 18: Physiological Modeling: GlucoseāInsulin Dynamics and Cardiovascular Modeling
- 19: Introduction to Black Box Modeling
- 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 Modeling
- 26: Model Reduction
- 27: Neural Networks
- 28: Fuzzy Modeling
- 29: Neuro Fuzzy Modeling
- 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. Modeling an Extraction Process
- Index