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ITERATIVE ALGORITHMS FOR MULTILAYER OPTIMIZING CONTROL

by Mietek A Brdys (The University of Birmingham, UK & Gdansk University of Technology, Poland) & Piotr Tatjewski (Warsaw University of Technology, Poland)

Table of Contents (49k)
Preface (60k)

The book presents basic structures, concepts and algorithms in the area of multilayer optimizing control of industrial systems, as well as the results of the research that was carried out by the authors over the last two decades. The methodologies and control algorithms are thoroughly illustrated by numerous simulation examples. Also, the applications to several case study examples are presented. These include ethylene distillation column, vaporizer pilot scale plant, styrene distillation line consisting of three columns and industrial furnace pilot scale plant. A temporal decomposition is applied to the Integrated Wastewater System case study to derive multilayer dynamic optimizing controller with repetitive robust model predictive control mechanism distributed over the layers operating in different time scales.

 
Contents:
  • Multilayer Control
  • Optimizing Control Layer
  • Iterative Correction with Disturbance Estimation
  • Integrated System Optimization and Parameter Estimation (ISOPE)
  • ISOPE for Problems with Output Constraints
  • Iterative Algorithms for Dynamic Optimizing Control
  • Optimizing Control of Interconnected Systems
 
Readership: Researchers, graduate and postgraduate students, and R&D engineers in control systems and advanced systems engineering.
 
 
388pp    Pub. date: Mar 2005  
ISBN:   978-1-86094-514-4
1-86094-514-7
   US$118 / £78

 


388pp    Pub. date: Mar 2005  
ISBN:   978-1-86094-724-7(ebook)
1-86094-724-7(ebook)
   US$153

 


 
 

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