2022 Annual Meeting

Session: Estimation and Control under Uncertainty

Chair

Jin Wang, Auburn University

Co-Chair

Davood Babaei Pourkargar, 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
Ali Mesbah, Kimberly Chan, Joel Paulson

08:19 AM

(434b) On the Performance of Stochastic Predictive Control
Sungho Shin, Sen Na, Victor Zavala, Mihai Anitescu

08:38 AM

(434c) Sparse-Identification-Based Predictive Control of Nonlinear Processes Using Noisy Process Data
Fahim Abdullah, Zhe Wu, Panagiotis Christofides

08:57 AM

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

09:16 AM

(434e) Machinelearning and Adaptive Model Predictive Control: Conflict or Conflux
Zicheng Cai, Erik Ydstie

09:35 AM

(434f) Chromate Control in an Ion Exchange Process Under Uncertainty
Fred Ghanem, Kirti Yenkie

09:54 AM

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

10:13 AM

(434h) Improving Computational Efficiency of Multi-Stage NMPC Using an Adaptive Horizon
Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke