| 书目名称 | Nonlinear Model Predictive Control |
| 副标题 | Theory and Algorithm |
| 编辑 | Lars Grüne,Jürgen Pannek |
| 视频video | |
| 概述 | Provides researchers with a self-contained reference for nonlinear model predictive control which can support further research.Offers the student an up-to-date account of nonlinear model predictive co |
| 丛书名称 | Communications and Control Engineering |
| 图书封面 |  |
| 描述 | Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. |
| 出版日期 | Book 20111st edition |
| 关键词 | Control; Control Applications; Control Engineering; Control Theory; Feedback Control; Model Predictive Co |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-85729-501-9 |
| isbn_ebook | 978-0-85729-501-9Series ISSN 0178-5354 Series E-ISSN 2197-7119 |
| issn_series | 0178-5354 |
| copyright | Springer-Verlag London Limited 2011 |
发表于 2025-3-21 18:15:53
