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 (Author), Pannek, Jürgen (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:2nd ed. 2017.
Series:Communications and Control Engineering,
Subjects:
Online Access:Full Text via HEAL-Link
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.