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
                            
        Lecturer Intro
                
                                                        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."