Complex system dynamics and control
Complex system dynamics mainly studies the relation and setting rules among components in complex systems. It has applications in different fields such as biology, physics, and finance. The control of complex systems focuses on the control strategies in complex dynamics, and has a wide range of applications in biomedicine, chemical engineering, and disease transmission. The course focuses on the discussion of methodology and how it incorporates the application of machine learning on this topic.
讲师
日期
2023年09月19日 至 12月14日
位置
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| 周二,周四 | 13:30 - 15:05 | A3-1-101 | ZOOM 09 | 230 432 7880 | BIMSA |
课程大纲
1. Basic concepts and principles of dynamical systems
2. Control theory in COVID-19
3. Data driven dynamical systems
4. Data driven control overview
5. Koopman operator optimal control
2. Control theory in COVID-19
3. Data driven dynamical systems
4. Data driven control overview
5. Koopman operator optimal control
参考资料
Brunton S L, Kutz J N. Data-driven science and engineering: Machine learning, dynamical systems, and control[M]. Cambridge University Press, 2022.
听众
Undergraduate
, Graduate
视频公开
公开
笔记公开
公开
语言
中文
, 英文
讲师介绍
Dr. Wuyue Yang is currently an Assistant Professor at BIMSA. She received her PhD degree from Tsinghua University in 2022 and was honored as an Outstanding Graduate of Beijing. Her main research directions are artificial intelligence, machine learning theory and applications. She has published papers in internationally renowned academic journals such as "Journal of Computational Physics," "Journal of Chemical Physics," and "Physics of Fluids," with over 1,000 Google citations. She is the PI of a National Natural Science Foundation of China Youth Fund project and has participated as a researcher in National Key R&D Program Special Projects. She serves as a review expert for international journals including "BMC Infectious Diseases" and "AIMS Mathematics." She teaches courses including "Theory and Application of Sparse Identification of Nonlinear Dynamics (SINDy)," "Complex System Dynamics and Control," and "Collective Dynamics of Active Matter."