Modelling, Analysis, Monitoring, and Control of Distributed Parameter Systems:, 9781611978469
Paperback
Tubular reactors reveal secrets of distributed parameter systems control.
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Modelling, Analysis, Monitoring, and Control of Distributed Parameter Systems:

the tubular reactor case study

$209.36

  • Paperback

    319 pages

  • Release Date

    31 August 2025

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Summary

Taming the Tube: Modeling, Analysis, and Control of Distributed Parameter Systems in Tubular Reactors

This book delves into the modeling, analysis, estimation, and control design of distributed parameter systems (DPS), focusing on the application to various tubular reactor configurations. It examines both linear and nonlinear partial differential equations (hyperbolic and parabolic).

The tubular reactor serves as an ideal case study for DPS due to its:

  • Coverage…

Book Details

ISBN-13:9781611978469
ISBN-10:1611978467
Series:Advances in Design and Control
Author:Denis Dochain
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Paperback
Number of Pages:319
Release Date:31 August 2025
Weight:0g
About The Author

Denis Dochain

Denis Dochain is Emeritus Full Professor at the UClouvain, Belgium. He has been with LAAS-CNRS (Toulouse, France), Polytechnique de Montréal, FNRS (Fonds National de la Recherche Scientifique), Belgium, the INMA pole of the ICTEAM institute, and Queen’s University, Kingston, Canada. He is senior editor of Journal of Process Control, associate editor of Automatica, former Editor-in-Chief of the Journal of Process Control, and former senior editor of IEEE Transactions of Automatic Control. He received an Outstanding Service Award from IFAC and is an IFAC Fellow and an IEEE Fellow. He is a Doctor Honoris Causa at Grenoble INP. He is the author or co-author of five books, more than 180 papers in refereed journals, and more than 280 international conference papers. His main research interests are in the field of distributed parameter systems, nonlinear systems, parameter and state estimation, and adaptive extremum seeking control with application to microbial ecology, environmental, biological, and chemical systems, pulp and paper processes, polymerization reactors, and electric systems.

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