每天一篇論文 317/365 DeepControl: Energy-Efficient Control of a Quadrotor using a Deep Neural Network
DeepControl: Energy-Efficient Control of a Quadrotor using a Deep Neural Network 摘要 四旋翼非線性動力系統的反饋控制器的綜合需要在控制器的性能和在線計算要求之間進行權衡。模型預測控制器（MPC）具有良好的控制性能，但在線計算量大。在本文中，我們提出我們的經驗，在一個四旋翼的MPC行爲與前饋神經網絡近似。爲了便於訓練數
相關文章
- 1. Speech recognition using deep neural network: A systematic review 論文簡述
- 2. Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey——翻譯
- 3. 圖像分割綜述論文「Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey」
- 4. 論文筆記：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 5. 論文閱讀 | Towards a Robust Deep Neural Network in Text Domain A Survey
- 6. 論文閱讀-《Towards a Robust Deep Neural Network in Texts: A Survey》
- 7. [論文筆記]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 8. A Deep Neural Network Approach To Speech Bandwidth Expansion
- 9. 論文筆記之：Hybrid computing using a neural network with dynamic external memory
- 10. 每天一天論文 292 /365 Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network
- 更多相關文章...
- • ASP.NET HtmlSelect Control - ASP.NET 教程
- • CAP理論是什麼？ - NoSQL教程
- • 三篇文章瞭解 TiDB 技術內幕——說存儲
- • 三篇文章瞭解 TiDB 技術內幕 —— 說計算
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Speech recognition using deep neural network: A systematic review 論文簡述
- 2. Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey——翻譯
- 3. 圖像分割綜述論文「Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey」
- 4. 論文筆記：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 5. 論文閱讀 | Towards a Robust Deep Neural Network in Text Domain A Survey
- 6. 論文閱讀-《Towards a Robust Deep Neural Network in Texts: A Survey》
- 7. [論文筆記]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 8. A Deep Neural Network Approach To Speech Bandwidth Expansion
- 9. 論文筆記之：Hybrid computing using a neural network with dynamic external memory
- 10. 每天一天論文 292 /365 Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network