Nonlinear Model Predictive Control Theory and Algorithms /

Nonlinear model predictive control (NMPC) is widely used in the process and chemical industries and increasingly for applications, such as those in the automotive industry, which use higher data sampling rates. Nonlinear Model Predictive Control is a thorough and rigorous introduction to NMPC for di...

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: London : Springer London : Imprint: Springer, 2011.
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
  • Numerical Discretization
  • Numerical Optimal Control of Nonlinear Systems
  • Examples
  • Appendix: Brief Introduction to NMPC Software.