图 书 馆
混沌和振荡机制的自动检测Automated detection of chaotic and oscillatory regimes |
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| 课程网址: | http://videolectures.net/mlsb2010_silk_ado/ |
| 主讲教师: | Daniel Silk |
| 开课单位: | 伦敦帝国学院 |
| 开课时间: | 2010-11-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Qualitative parameter estimation algorithms are a promising but underdeveloped class of inference methods [1]. They offer the ability to infer parameters when only qualitative features of the system are known or need to be specified. Here we adapt the unscented Kalman filter for identification of model parameters that give rise to a desired Lyapunov spectrum. This novel approach extends the reach of these techniques, allowing detection of the most complex and elusive dynamical behaviours. We demonstrate our method on three ODE models, including a simple model of the Hes1 regulatory system. |
| 关 键 词: | 定性参数估计算; 指数谱; 常微分方程; 监管系统模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-29：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 49 |