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...
Main Authors: | Grüne, Lars (Author), Pannek, Jürgen (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
London :
Springer London : Imprint: Springer,
2011.
|
Series: | Communications and Control Engineering,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Nonlinear Model Predictive Control Theory and Algorithms /
by: Grüne, Lars, et al.
Published: (2017) -
Model Predictive Control Classical, Robust and Stochastic /
by: Kouvaritakis, Basil, et al.
Published: (2016) -
Finite-Time Stability and Control
by: Amato, Francesco, et al.
Published: (2014) -
Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes A Parametrized Approach for Fast Systems /
by: Alamir, Mazen
Published: (2006) -
Saturated Switching Systems
by: Benzaouia, Abdellah
Published: (2012)