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AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

Home Page: https://github.com/haozhg/oml

License: MIT License

Python 97.13% Makefile 2.87%
machine-learning data-driven-model dynamical-systems inverse-problems system-identification model-reduction control-theory online-learning online-optimization model-learning

oml's Issues

几个问题

问题1:这个算法提交论文的链接失效了,能否讲一下。
Efficient data-driven Online Model Learning (OML) / system identification and control. The algorithm is proposed in this paper.

问题2:对于这个算法的实现,主要应用于哪些场景?
1:LIT 系统
2:NLIT系统
3:nonlinear and/or time-varying [dynamical system]
到底是哪一种?

我运行了一下测试用例,也没看出来这个算法到底是干什么的,求教。

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