2020 Virtual AIChE Annual Meeting

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

Chair

Zhenyu Wang, Dow Inc.

Co-Chair

Joseph Kwon, Texas A&M University

Presentations

08:00 AM

(299a) Mechanistically Inspired Data-Driven COVID-19 Pandemic Modeling for Multiple Countries
S. Joe Qin, Qingpeng Zhang, Fengshi Jing, Siyi Guo, Zheyu Li

08:15 AM

(299c) Deep Learning Based Koopman System Identification of Nonlinear Controlled Systems
Abhinav Narasingam, Mohammed Saad Faizan Bangi, Joseph Kwon

08:30 AM

(299d) Machine Learning-Based Model Predictive Control of Nonlinear Processes Using Noisy Data
Zhe Wu, David Rincon, Zhihao Zhang, Panagiotis Christofides

08:45 AM

(299e) Disturbance Modeling for Model Predictive Control Using Neural Networks
James Rawlings, Stephen J. Wright, Pratyush Kumar

09:00 AM

(299f) Fast Approximate Multistage NMPC with Online Scenario Tree Generation Using Active Deep Learning
Joel Paulson, Angelo D. Bonzanini, Ali Mesbah, Georgios Makrygiorgos

09:15 AM

(299g) The Integration of Relu-Based Deep Neural Networks for Explicit Model Predictive Control
Iosif Pappas, Justin Katz, Styliani Avraamidou, Efstratios Pistikopoulos

09:30 AM

(299h) PDE+Pinn: Neural Identification and Solution of Partial Differential Equations on Partial Data
Thomas Bertalan, Felix Kemeth, Tianqi Cui, Ioannis G. Kevrekidis