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Nonlinear Model Predictive Control

  • Frank Allgöwer
  • Alex Zheng

Part of the Progress in Systems and Control Theory book series (PSCT, volume 26)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Theoretical Issues in Nonlinear Predictive Control

    1. Front Matter
      Pages 1-1
    2. G. De Nicolao, L. Magni, R. Scattolini
      Pages 3-22
    3. Christopher V. Rao, James B. Rawlings
      Pages 45-69
    4. Alberto Bemporad, Manfred Morari
      Pages 71-98
    5. Basil Kouvaritakis, Mark Cannon, J. Anthony Rossiter
      Pages 99-113
    6. David Angeli, Alessandro Casavola, Edoardo Mosca
      Pages 115-128
    7. Rolf Findeisen, Frank Allgöwer
      Pages 145-161
    8. Masoud Soroush, Kenneth R. Muske
      Pages 163-179
    9. Mark Cannon, Basil Kouvaritakis
      Pages 205-215
  3. Modelling and Computational Aspects in Nonlinear Predictive Control

  4. Applications of Nonlinear Predictive Control

    1. Front Matter
      Pages 367-367
    2. S. Joe Qin, Thomas A. Badgwell
      Pages 369-392
    3. Matthias Schley, Vinay Prasad, Louis P. Russo, B. Wayne Bequette
      Pages 403-417
    4. V. Wertz, L. Magni, G. Bastin
      Pages 433-447
    5. G. De Nicolao, L. Magni, R. Scattolini
      Pages 449-459

About these proceedings

Introduction

During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control – Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland.
The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.

Keywords

Differentialgleichungen Systemtheorie control engineering model modeling optimization systems theory

Editors and affiliations

  • Frank Allgöwer
    • 1
  • Alex Zheng
    • 2
  1. 1.Institut für Systemtheorie technischer ProzesseUniversität StuttgartStuttgartGermany
  2. 2.Department of Chemical EngineeringUniversity of Massachusetts at AmherstAmherstUSA

Bibliographic information