| 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 | 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 variants. 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. .An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring thepossibilities and limitations of NMPC..The second edition has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including:.• |
| 出版日期 | Book 2017Latest edition |
| 关键词 | Feedback Control; Model Predictive Control; Numerical Methods; Optimal Control; Nonlinear Systems |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-319-46024-6 |
| isbn_softcover | 978-3-319-83423-8 |
| isbn_ebook | 978-3-319-46024-6Series ISSN 0178-5354 Series E-ISSN 2197-7119 |
| issn_series | 0178-5354 |
| copyright | Springer International Publishing Switzerland 2017 |
发表于 2025-3-21 16:13:00
