2020 Virtual AIChE Annual Meeting

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

Chair

Wang, Z., Dow Inc.

Co-Chair

Kwon, J., Texas A&M University

Presentations

08:00 AM

(299a) Mechanistically Inspired Data-Driven COVID-19 Pandemic Modeling for Multiple Countries
Qin, S. J., Zhang, Q., Jing, F., Guo, S., Li, Z.

08:15 AM

(299c) Deep Learning Based Koopman System Identification of Nonlinear Controlled Systems
Narasingam, A., Bangi, M. S. F., Kwon, J.

08:30 AM

(299d) Machine Learning-Based Model Predictive Control of Nonlinear Processes Using Noisy Data
Wu, Z., Rincon, D., Zhang, Z., Christofides, P.

08:45 AM

(299e) Disturbance Modeling for Model Predictive Control Using Neural Networks
Rawlings, J., Wright, S. J., Kumar, P.

09:00 AM

(299f) Fast Approximate Multistage NMPC with Online Scenario Tree Generation Using Active Deep Learning
Paulson, J., Bonzanini, A. D., Mesbah, A., Makrygiorgos, G.

09:15 AM

(299g) The Integration of Relu-Based Deep Neural Networks for Explicit Model Predictive Control
Pappas, I., Katz, J., Avraamidou, S., Pistikopoulos, E.

09:30 AM

(299h) PDE+Pinn: Neural Identification and Solution of Partial Differential Equations on Partial Data
Bertalan, T., Kemeth, F., Cui, T., Kevrekidis, I. G.