Детальная информация
| Название | Series on deep learning neural networks ;. — Iterative adaptive dynamic programming for self-learning optimal control. — vol. 2. – c2026. |
|---|---|
| Авторы | Wei Qinglai. ; Song Ruizhuo. ; Li Hongyang. |
| Выходные сведения | Singpaore: World Scientific, c2026 |
| Коллекция | Электронные книги зарубежных издательств ; Общая коллекция |
| Тематика | Adaptive control systems. ; Dynamic programming. ; Reinforcement learning. ; World Scientific Publishing eBooks Collection |
| Тип документа | Другой |
| Язык | Английский |
| Права доступа | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Ключ записи | 00014258 |
| Дата создания записи | 24.01.2025 |
"This unique book introduces the iterative adaptive dynamic programming theory from the control systems perspectives, with the most recent results of iterative adaptive dynamic programming methods. Advanced theoretical analysis and some practical applications of iterative adaptive dynamic programming are provided. Furthermore, the practical applications in residential energy systems are also highlighted, showing the good performance of the iterative adaptive dynamic programming methods. The useful reference text benefits professionals, researchers, academics, graduate and undergraduates students in control engineering"--.
Количество обращений: 2
За последние 30 дней: 2
