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...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Edition: | 2nd ed. 2017. |
Series: | Communications and Control Engineering,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
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
- 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.