Nonlinear Model Predictive Control Theory and Algorithms /

• 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: Engineering.; Chemical engineering.; System theory.; Automotive engineering.; Control engineering.; Control.; Systems Theory, Control.; Industrial Chemistry/Chemical Engineering.; Automotive Engineering.

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...

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
• Numerical Discretization
• Numerical Optimal Control of Nonlinear Systems
• Examples
• Appendix: Brief Introduction to NMPC Software.