five

low_e1_d-1_HJ_Lagrange_long.mat from Observation-based correction of dynamical models using thermostats

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://figshare.com/articles/dataset/low_e1_d-1_HJ_Lagrange_long_mat_from_Observation-based_correction_of_dynamical_models_using_thermostats/4524755
下载链接
链接失效反馈
官方服务:
资源简介:
Models used in simulation may give accurate short-term trajectories but distort long-term (statistical) properties. In this work, we augment a given approximate model with a control law (a ‘thermostat’) that gently perturbs the dynamical system to target a thermodynamic state consistent with a set of prescribed (possibly evolving) observations. As proof of concept, we provide an example involving a point vortex fluid model on the sphere, for which we show convergence of equilibrium quantities (in the stationary case) and the ability of the thermostat to dynamically track a transient state.

仿真中使用的模型虽可生成准确的短期轨迹,却会扭曲长期(统计)特性。本研究为给定的近似模型添加了一种控制律(control law,即‘恒温器’),该控制律可对动力系统(dynamical system)进行轻柔扰动,使其目标热力学状态(thermodynamic state)与一组预设(可能随时间演化的)观测结果保持一致。作为概念验证,我们给出了一个涉及球面点涡流体模型(point vortex fluid model)的示例,在此示例中我们证明了平稳情形下平衡量(equilibrium quantities)的收敛性,以及该恒温器动态追踪瞬态(transient state)的能力。
创建时间:
2017-01-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作