2020 Virtual AIChE Annual Meeting

Session: Predictive Control and Optimization

Chair

Mesbah, A., University of California, Berkeley

Co-Chair

Durand, H., Wayne State University

Presentations

08:00 AM

(434a) Physics-Based Machine Learning Modeling for Model Predictive Control of Nonlinear Processes
Wu, Z., Rincon, D., Christofides, P.

08:15 AM

(434b) Diffusing-Horizon Model Predictive Control
Shin, S., Zavala, V. M.

08:30 AM

(434c) Fast and Convergent Nonconvex Constrained Distributed Optimization and Its Application to Distributed MPC
Tang, W., Daoutidis, P.

08:45 AM

(434d) An Offset-Free Control Framework for Koopman Lyapunov-Based Model Predictive Control
Kwon, J., Son, S. H., Narasingam, A.

09:00 AM

(434e) Interacting Dynamical System Control By Multi-Parametric Distributed Model Predictive Control
Ganesh, H. S., Avraamidou, S., Pistikopoulos, E., Pappas, I., Pappas, I.

09:15 AM

(434f) A Back-Off Approach for Simultaneous Design and Nonlinear Model Predictive Control of Dynamic Systems Under Uncertainty
Palma-Flores, O., Ricardez-Sandoval, L.

09:30 AM

(434g) Goal-Oriented Model Learning with High-Fidelity Simulations Using MPC-Embedded Bayesian Optimization
Sorourifar, F., Makrygiorgos, G., Mesbah, A., Paulson, J.

09:45 AM

(434h) Tractable Control-Theoretic Constraint Design for Lyapunov-Based Economic Model Predictive Control
Durand, H., Messina, D.