Lecture Notes in Control and Information Sciences

Explicit Nonlinear Model Predictive Control

Theory and Applications

Authors: Grancharova, Alexandra, Johansen, Tor Arne

  • Presents an explicit solution of model predictive control  problems for constrained nonlinear systems
  • Recent research on various types of nonlinear systems resulting in various Nonlinear Model Predictive Control formulations
  • Illustrated with applications to practical nonlinear systems
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About this book

Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.

This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:

Ø  Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;

Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;

Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);

Nonlinear systems, consisting of interconnected nonlinear sub-systems.

The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers.

 

Table of contents (9 chapters)

  • Multi-parametric Programming

    Grancharova, Alexandra (et al.)

    Pages 1-37

  • Nonlinear Model Predictive Control

    Grancharova, Alexandra (et al.)

    Pages 39-69

  • Explicit NMPC Using mp-QP Approximations of mp-NLP

    Grancharova, Alexandra (et al.)

    Pages 71-85

  • Explicit NMPC via Approximate mp-NLP

    Grancharova, Alexandra (et al.)

    Pages 87-110

  • Explicit MPC of Constrained Nonlinear Systems with Quantized Inputs

    Grancharova, Alexandra (et al.)

    Pages 111-125

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-28780-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA
  • ISBN 978-3-642-28779-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Explicit Nonlinear Model Predictive Control
Book Subtitle
Theory and Applications
Authors
Series Title
Lecture Notes in Control and Information Sciences
Series Volume
429
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Berlin Heidelberg
eBook ISBN
978-3-642-28780-0
DOI
10.1007/978-3-642-28780-0
Softcover ISBN
978-3-642-28779-4
Series ISSN
0170-8643
Edition Number
1
Number of Pages
XIV, 234
Number of Illustrations and Tables
49 b/w illustrations, 17 illustrations in colour
Topics