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

Chair(s):
Yenkie, K. M., Rowan University
Co-chair(s):
Chen, D., Lamar University

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.

Papers:

Checkout

Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.

Checkout

Do you already own this?

Pricing


Individuals

AIChE Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00