© 2000

Nonlinear Model-based Process Control

Applications in Petroleum Refining

  • Of particular interest to the petrochemicals industry

  • Constant relation of scientific results to industrial application

  • The book was written in response to a demand for the material that it contains


Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Rashid M. Ansari, Moses O. Tadé
    Pages 1-6
  3. Rashid M. Ansari, Moses O. Tadé
    Pages 7-39
  4. Rashid M. Ansari, Moses O. Tadé
    Pages 41-58
  5. Rashid M. Ansari, Moses O. Tadé
    Pages 59-78
  6. Rashid M. Ansari, Moses O. Tadé
    Pages 143-182
  7. Rashid M. Ansari, Moses O. Tadé
    Pages 183-188
  8. Back Matter
    Pages 189-232

About this book


The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The last decade has seen considerable interest in reviving the fortunes of non­ linear control. In contrast to the approaches of the 60S, 70S and 80S a very pragmatic agenda for non-linear control is being pursued using the model-based predictive control paradigm. This text by R. Ansari and M. Tade gives an excellent synthesis of this new direction. Two strengths emphasized by the text are: (i) four applications found in refinery processes are used to give the text a firm practical continuity; (ii) a non-linear model-based control architecture is used to give the method a coherent theoretical framework.


Constrained Optimisation Generic Model Control Inferential Models Model-based Control control control system oleum optimization process control stability temperature

Authors and affiliations

  1. 1.Department of Chemical EngineeringCurtin University of TechnologyPerthAustralia

Bibliographic information

  • Book Title Nonlinear Model-based Process Control
  • Book Subtitle Applications in Petroleum Refining
  • Authors Rashid M. Ansari
    Moses O. Tade
  • Series Title Advances in Industrial Control
  • Series Abbreviated Title Advances in Industrial Control
  • DOI
  • Copyright Information Springer-Verlag London 2000
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-1-85233-213-6
  • Softcover ISBN 978-1-4471-1192-4
  • eBook ISBN 978-1-4471-0739-2
  • Series ISSN 1430-9491
  • Series E-ISSN 2193-1577
  • Edition Number 1
  • Number of Pages XXIII, 232
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Industrial Chemistry/Chemical Engineering
    Control, Robotics, Mechatronics
  • Buy this book on publisher's site
Industry Sectors
Chemical Manufacturing
Consumer Packaged Goods
Oil, Gas & Geosciences