| 書目名稱 | Numerical Methods for Optimal Control Problems |
| 編輯 | Maurizio Falcone,Roberto Ferretti,William M. McEne |
| 視頻video | http://file.papertrans.cn/670/669080/669080.mp4 |
| 概述 | Presents recent mathematical methods for optimal control problems and their applications.Provides rigorous mathematical results.Offers several hints on numerical methods and on the construction of eff |
| 叢書名稱 | Springer INdAM Series |
| 圖書封面 |  |
| 描述 | This work presents recent mathematical methods in the area of optimal control with a particular emphasis on the computational aspects and applications. Optimal control theory concerns the determination of control strategies for complex dynamical systems, in order to optimize some measure of their performance. Started in the 60‘s under the pressure of the "space race" between the US and the former USSR, the field now has a far wider scope, and embraces a variety of areas ranging from process control to traffic flow optimization, renewable resources exploitation and management of financial markets. These emerging applications require more and more efficient numerical methods for their solution, a very difficult task due the huge number of variables. The chapters of this volume give an up-to-date presentation of several recent methods in this area including fast dynamic programming algorithms, model predictive control and max-plus techniques.?This book is addressed to researchers, graduate students and applied scientists working in the area of control problems, differential games? and their applications.. . |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | Optimal Control; Computational Methods; Dynamic Programming; Model Predictive Control; Max-plus algebra |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-01959-4 |
| isbn_ebook | 978-3-030-01959-4Series ISSN 2281-518X Series E-ISSN 2281-5198 |
| issn_series | 2281-518X |
| copyright | Springer Nature Switzerland AG 2018 |
|Archiver|手機版|小黑屋|
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