Skip to main content
SpringerLink
Log in
Book cover

Nonlinear Model Predictive Control

Theory and Algorithms

  • Book
  • © 2011

Overview

Authors:
  1. Lars Grüne

    1. Mathematisches Institut, Universität Bayreuth, Bayreuth, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Jürgen Pannek

    1. Mathematisches Institut, Universität Bayreuth, Bayreuth, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Provides researchers with a self-contained reference for nonlinear model predictive control which can support further research
  • Offers the student an up-to-date account of nonlinear model predictive control written in a textbook style for easier learning
  • Gives the lecturer a sourcebook for teaching nonlinear model predictive control without needing to work up material from papers and contributed books
  • Includes supplementary material: sn.pub/extras

Part of the book series: Communications and Control Engineering (CCE)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Introduction

    • Lars Grüne, Jürgen Pannek
    Pages 1-11

  3. Discrete Time and Sampled Data Systems

    • Lars Grüne, Jürgen Pannek
    Pages 13-41

  4. Nonlinear Model Predictive Control

    • Lars Grüne, Jürgen Pannek
    Pages 43-66

  5. Infinite Horizon Optimal Control

    • Lars Grüne, Jürgen Pannek
    Pages 67-85

  6. Stability and Suboptimality Using Stabilizing Constraints

    • Lars Grüne, Jürgen Pannek
    Pages 87-112

  7. Stability and Suboptimality Without Stabilizing Constraints

    • Lars Grüne, Jürgen Pannek
    Pages 113-163

  8. Variants and Extensions

    • Lars Grüne, Jürgen Pannek
    Pages 165-210

  9. Feasibility and Robustness

    • Lars Grüne, Jürgen Pannek
    Pages 211-250

  10. Numerical Discretization

    • Lars Grüne, Jürgen Pannek
    Pages 251-273

  11. Numerical Optimal Control of Nonlinear Systems

    • Lars Grüne, Jürgen Pannek
    Pages 275-339

  12. Back Matter

    Pages 341-359
    Download chapter PDF
Back to top

Keywords

About this book

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.

Reviews

“The book provides an excellent and extensive treatment of NMPC from a careful introduction to the underlying theory to advanced results. It can be used for independent reading by applied mathematicians, control theoreticians and engineers who desire a rigorous introduction into the NMPC theory. It can also be used as a textbook for a graduate-level university course in NMPC.” (Ilya Kolmanovsky, Mathematical Reviews, April, 2015)

“In the monograph nonlinear, discrete-time, finite-dimensional control systems with constant parameters are considered. … Each chapter of the monograph contains many numerical examples which illustrate the theoretical considerations, several possible extensions and open problems. Moreover, relationships to results on predictive control published in the literature are pointed out.” (Jerzy Klamka, Zentralblatt MATH, Vol. 1220, 2011)

Authors and Affiliations

  • Mathematisches Institut, Universität Bayreuth, Bayreuth, Germany

    Lars Grüne, Jürgen Pannek

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation