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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Grüne, Lars (Συγγραφέας), Pannek, Jürgen (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Έκδοση:2nd ed. 2017.
Σειρά:Communications and Control Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.