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.
Lecturer
Date
19th September ~ 14th December, 2023
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Tuesday,Thursday | 13:30 - 15:05 | A3-1-101 | ZOOM 09 | 230 432 7880 | BIMSA |
Syllabus
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
Reference
Brunton S L, Kutz J N. Data-driven science and engineering: Machine learning, dynamical systems, and control[M]. Cambridge University Press, 2022.
Audience
Undergraduate
, Graduate
Video Public
Yes
Notes Public
Yes
Language
Chinese
, English