Nonlinear model predictive control : theory and algorithms

This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC vari...

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Bibliographic Details
Main Authors Grüne, Lars, 1967- (Author), Pannek, Jürgen (Author)
Format Electronic eBook
LanguageEnglish
Published Cham : Springer, 2016.
EditionSecond edition.
SeriesCommunications and control engineering.
Subjects
Predictive control.
Nonlinear control theory.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319460246
9783319460239
Physical Description1 online resource

Cover

Table of Contents:
  • Introduction
  • Discrete-Time and Sampled-Data Systems
  • Nonlinear Model Predictive Control
  • Infinite-Horizon Optimal Control
  • Stability and Suboptimality Using Stabilizing Constraints
  • Stability and Suboptimality Without Stabilizing Constraints
  • Feasibility and Robustness
  • Economic Nonlinear Model Predictive Control
  • Distributed Nonlinear Model Predictive Control
  • Variants and Extensions
  • Numerical Discretization
  • Numerical Optimal Control of Nonlinear Systems
  • Appendix: NMPC Software Supporting This Book.

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