Description:
This session highlights techniques that use data to conduct tasks such as dynamic system modeling, 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.
Sponsor:
Systems and Process Control
Chair:
Joseph Kwon
Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX
Co-Chair:
Qi Zhang
U Minnesota
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division