Overview
- Shows the reader that existing industrial processes can easily be updated to improve economic viability
- Rigorous model-based approach to optimal control can be extended to accomodate new areas of research
- Feedback-based strategy allows the reader to cope with uncertainties such as perturbations and model mismatch
- Exemplary case studies provide examples of the application of the new approaches described
- MATLAB® files enable the reader to reproduce and adapt the analysis of selected examples
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Miroslav Fikar received his MSc and PhD degrees in Chemical Process Control from the Slovak University of Technology in Bratislava in 1989 and 1994, respectively. He has stayed with the Faculty of Chemical and Food Technology STU where he is currently a professor and institute director. He was Postdoc Fellow in Nancy, France, Alexander von Humboldt Fellow in Bochum, Germany and spent several stays in Denmark, Germany, France, Switzerland. His current research interests include optimal control, MPC, and chemical process control. He is a coauthor of several monographs including Process Modelling, Identification, and Control (Springer, 2007).
Bibliographic Information
Book Title: Optimal Operation of Batch Membrane Processes
Authors: Radoslav Paulen, Miroslav Fikar
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-3-319-20475-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-20474-1Published: 05 October 2015
Softcover ISBN: 978-3-319-37390-4Published: 21 February 2018
eBook ISBN: 978-3-319-20475-8Published: 24 September 2015
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XXV, 158
Number of Illustrations: 18 b/w illustrations, 42 illustrations in colour
Topics: Control and Systems Theory, Water Quality/Water Pollution, Industrial Chemistry/Chemical Engineering