Data-Driven Techniques for Dynamic Modeling, Estimation and Control I

The session welcomes contributions that develop and apply data-based techniques to conduct system's tasks such as dynamic model development, state/parameter estimation, identification, and control. Emerging techniques from data science and machine learning as well as approaches that combine data with first-principles models are encouraged.