Understanding Process Dynamics and Control (Hardcover)

Costas Kravaris

ISBN 10: 1107035589 / ISBN 13: 9781107035584

Editore: Cambridge University Press, Cambridge, 2021

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Hardcover. 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 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. A fresh look to a traditional course in chemical engineering for modern industry. Extensive use of MATLAB 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Codice articolo 9781107035584

Dati bibliografici

• Titolo: Understanding Process Dynamics and Control (Hardcover)
• Editore: Cambridge University Press, Cambridge
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1107035589
• ISBN 13: 9781107035584
• Rilegatura: Hardcover
• Condizione: new

Descrizione articolo

Riassunto

A fresh look to process control. State-space and traditional approaches presented in parallel with relevant computer software.

Informazioni sugli autori

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.