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Progress in Systems and Control Theory

Nonlinear Model Predictive Control

Editors: Allgöwer, Frank, Zheng, Alex (Eds.)

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Hardcover $199.99
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Softcover $159.99
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About this book

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.

Reviews

"[A] skillfully assembled and thoroughly reviewed collection of papers…containing some of the latest developments in a rapidly developing area…. To conclude, to anybody interested in nonlinear predictive control, the collection of papers edited by Frank Allgöwer and Alex Zhang is a good starting point. To anybody working on nonlinear predictive control, the collection is a source of inspiration and [a] gold mine of problems." —Control and Cybernetics


Table of contents (27 chapters)

  • Stability and Robustness of Nonlinear Receding Horizon Control

    Nicolao, G. (et al.)

    Pages 3-22

  • Nonlinear Model Predictive Control:Challenges and Opportunities

    Mayne, David

    Pages 23-44

  • Nonlinear Moving Horizon State Estimation

    Rao, Christopher V. (et al.)

    Pages 45-69

  • Predictive Control of Constrained Hybrid Systems

    Bemporad, Alberto (et al.)

    Pages 71-98

  • Stability, Feasibility, Optimality and the Degrees of Freedom in Constrained Predictive Control

    Kouvaritakis, Basil (et al.)

    Pages 99-113

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-0348-8407-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-7643-6297-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-3-0348-9554-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Nonlinear Model Predictive Control
Editors
  • Frank Allgöwer
  • Alex Zheng
Series Title
Progress in Systems and Control Theory
Series Volume
26
Copyright
2000
Publisher
Birkhäuser Basel
Copyright Holder
Springer Basel AG
eBook ISBN
978-3-0348-8407-5
DOI
10.1007/978-3-0348-8407-5
Hardcover ISBN
978-3-7643-6297-3
Softcover ISBN
978-3-0348-9554-5
Edition Number
1
Number of Pages
IX, 472
Topics