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Understanding Process Dynamics and Control Costas Kravaris (Texas A & M University)

Understanding Process Dynamics and Control By Costas Kravaris (Texas A & M University)

Understanding Process Dynamics and Control by Costas Kravaris (Texas A & M University)


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Summary

A fresh look to a traditional course in chemical engineering for modern industry. Extensive use of MATLAB (R) and MAPLE supported numerous solved examples and over 240 problems. A valuable resource as a textbook or for self-study, it offers in-depth analysis of the underlying theory.

Understanding Process Dynamics and Control Summary

Understanding Process Dynamics and Control by Costas Kravaris (Texas A & M University)

Presenting a fresh look at process control, this new text demonstrates state-space approach shown in parallel with the traditional approach to explain the strategies used in industry today. Modern time-domain and traditional transform-domain methods are integrated throughout and explain the advantages and limitations of each approach; the fundamental theoretical concepts and methods of process control are applied to practical problems. To ensure understanding of the mathematical calculations involved, MATLAB (R) is included for numeric calculations and MAPLE for symbolic calculations, with the math behind every method carefully explained so that students develop a clear understanding of how and why the software tools work. Written for a one-semester course with optional advanced-level material, features include solved examples, cases that include a number of chemical reactor examples, chapter summaries, key terms, and concepts, as well as over 240 end-of-chapter problems, focused computational exercises and solutions for instructors.

Understanding Process Dynamics and Control Reviews

'Provides a fresh perspective through the integrated coverage of modern state-space and traditional transfer function approaches. The mathematical derivations are detailed and accessible, aiding clear understanding of the basic as well as the more advanced topics.' Prodromos Daoutidis, University of Minnesota
'Breaking new ground in the crowded field of process control textbooks, this book provides the foundation for teaching a modern undergraduate process control course in the twenty-first century. It is exceptionally well written and organized, and includes numerous examples, making it a must-have for all process control researchers, students and engineers.' Panagiotis D. Christofides, University of California, Los Angeles

About Costas Kravaris (Texas A & M University)

Costas Kravaris is Professor of Chemical Engineering at Texas A&M University, USA. He has over 35 years of in teaching experience in process dynamics and control classes at both undergraduate and graduate level. He is an active researcher is nonlinear control, nonlinear state estimation and nonlinear model reduction, with applications to chemical processes. Ioannis K. Kookos is Professor of Process Systems Engineering, in the Department Chemical Engineering at the University of Patras, Greece. He received his BSc in Chemical Engineering from the National Technical University of Athens, Greece and his MSc (1994) and PhD (2001) in Process Systems Engineering from Imperial College, London (Centre for PSE). He then worked as a lecturer at the University of Manchester, Department of Chemical Engineering.

Table of Contents

Contents; Preface; 1. Introduction; 2. Dynamic Models for Chemical Process Systems; 3. First Order Systems; 4. Connections of First Order Systems; 5. Second Order Systems; 6. Linear Higher Order Systems; 7. Eigenvalue Analysis - Asymptotic Stability; 8. Transfer Function Analysis of the Input/Output Behavior; 9. Frequency Response; 10. The Feedback Control System; 11. Block Diagram Reduction and Transient Response Calculation in a Feedback Control System; 12. Steady-State and Stability Analysis of the Closed Loop System; 13. State Space Description and Analysis of the Closed Loop System; 14. Systems with Dead Time; 15. Parametric Analysis of Closed Loop Dynamics - Root Locus Diagrams; 16. Optimal Selection of Controller Parameters; 17. Bode and Nyquist Stability Criteria - Gain and Phase Margins; 18. Multiple-Input-Multiple-Output Systems; 19. Synthesis of Model-Based Feedback Controllers; 20. Cascade, Ratio and Feedforward Control; Appendix A; Appendix B.

Additional information

NGR9781107035584
9781107035584
1107035589
Understanding Process Dynamics and Control by Costas Kravaris (Texas A & M University)
New
Hardback
Cambridge University Press
2021-04-08
784
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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