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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Detaylı Bibliyografya
Asıl Yazarlar: Grüne, Lars (Yazar), Pannek, Jürgen (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:2nd ed. 2017.
Seri Bilgileri:Communications and Control Engineering,
Konular:
Control engineering.
System theory.
Control theory.
Chemistry, Technical.
Automotive engineering.
Control and Systems Theory.
Systems Theory, Control.
Industrial Chemistry.
Automotive Engineering.
Online Erişim:Full-text access
İçindekiler:
  • 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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