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Dynamics of Large Structures and Inverse Problems

Mathematical and Mechanical Engineering Set – Volume 5

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

DSC 2017

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Earthquake Occurrence

Short- and Long-term Models and their Validation

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The Chemostat

Mathematical Theory of Microorganims Cultures

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From Prognostics and Health Systems Management to Predictive Maintenance 2

Knowledge, Traceability and Decision

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First Hitting Time Regression Models

Lifetime Data Analysis Based on Underlying Stochastic Processes

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Process Control Design for Industrial Applications

Dumitru Popescu, “Politehnica” University of Bucharest, Romania Amira Gharbi, Arab World Internet Institute Dan Stefanoiu, “Politehnica” University of Bucharest, Romania Pierre Borne, Ecole Centrale de Lille, France

ISBN: 9781786300140

Publication Date: April 2017   Hardback   302 pp.

120.00 USD

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This book explores the main practical methods and algorithms currently available for designing industrial process control, following concepts such as “embedded optimization” and “low-cost automation”. It also offers specialists in Industrial Automation the most up-to-date approaches and techniques for designing digital control systems and provides practical applications that are significant in the industrial domain.
Process Control Design for Industrial Applications presents diverse case studies which demonstrate how the application of the automatic control solutions discussed in this book can significantly improve industrial processes in the iron and steel industry, in petrochemical processes or in the energy industry.
Further to this, for implementation, improved control algorithms are recommended using advanced adaptive, robust or predictive strategies to maintain nominal performances in a real industrial setting. The authors propose corresponding optimization solutions to exploit technological processes in order to increase the profit of a company.


1. Introduction – Models and Dynamic Systems.
2. Linear Identification of Closed-Loop Systems.
3. Digital Control Design Using Pole Placement.
4. Adaptive Control and Robust Control.
5. Multimodel Control.
6. Ill-Defined and/or Uncertain Systems.
7. Modeling and Control of an Elementary Industrial Process.
8. Industrial Applications – Case Studies.

About the Authors

Dumitru Popescu is Professor at “Politehnica” University of Bucharest, Romania.
Amira Gharbi is National Coordinator at the Arab World Internet Institute.
Dan Stefanoiu is Professor at “Politehnica” University of Bucharest, Romania.
Pierre Borne is Emeritus Professor at Ecole Centrale de Lille, France.


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