2022 Annual Meeting

Session: Estimation and Control under Uncertainty

Chair

Wang, J., Auburn University

Co-Chair

Babaei Pourkargar, D., Kansas State University

Presentations

08:00 AM

(434a) End-to-End Design and Implementation of Robust MPC on Resource-Limited Hardware Using Multi-Objective Bayesian Optimization and Deep Learning
Mesbah, A., Chan, K., Paulson, J.

08:19 AM

(434b) On the Performance of Stochastic Predictive Control
Shin, S., Na, S., Zavala, V., Anitescu, M.

08:38 AM

(434c) Sparse-Identification-Based Predictive Control of Nonlinear Processes Using Noisy Process Data
Abdullah, F., Wu, Z., Christofides, P.

08:57 AM

(434d) Partial Modifier Adaptation for Economic Optimization of Process Systems Under Frequent Disturbances and Structural Model Uncertainty
Patron, G., Ricardez-Sandoval, L.

09:16 AM

(434e) Machinelearning and Adaptive Model Predictive Control: Conflict or Conflux
Cai, Z., Ydstie, E.

09:35 AM

(434f) Chromate Control in an Ion Exchange Process Under Uncertainty
Ghanem, F., Yenkie, K.

09:54 AM

(434g) Parameter Estimation for Real-Time Optimization Under Model Uncertainty and Measurement Noise
Ricardez-Sandoval, L., Patron, G.

10:13 AM

(434h) Improving Computational Efficiency of Multi-Stage NMPC Using an Adaptive Horizon
Mdoe, Z., Krishnamoorthy, D., Jäschke, J.