2019 AIChE Annual Meeting

Session: Estimation and Control Under Uncertainty

This session will highlight methods for characterizing, quantifying, and mitigating uncertainty in estimation, control, and real-time optimization tasks.

Chair

Joseph Scott, Georgia Institute of Technology

Co-Chair

Zhenyu Wang, Dow Inc.

Presentations

12:30 PM

(522a) Comparison of Uncertainty Propagation Methods for Output Moment Estimation
Samira Mohammadi, Selen Cremaschi

12:49 PM

(522b) A New Approximate Method for Rapid Estimation of Probability Distributions
Francesco Rossi, Linas Mockus, G. V. Rex Reklaitis

01:08 PM

(522c) A Tube-Based Strategy for Robust Control Synthesis of Periodic Processes
Mario Eduardo Villanueva, Benoit Chachuat, Boris Houska

01:27 PM

(522d) Adaptive Stochastic Predictive Control with Recursive Subspace Identification and Learning
Iman Hajizadeh, Mohammad Reza Askari, Ranjeet Kumar, Victor M. Zavala, Ali Cinar

01:46 PM

(522e) Stochastic Design Optimization and Control of Modular Membrane Reactor Units
San Dinh, Fernando V. Lima

02:05 PM

(522f) Benchmarking Stochastic and Deterministic MPC: A Case Study in Stationary Battery Systems
Ranjeet Kumar, Jordan Jalving, Victor M. Zavala

02:24 PM

(522g) Contingency Planning for Fault Tolerance in Robust Nonlinear MPC
Tor Aksel N. Heirung, Joel Paulson, Ali Mesbah

02:43 PM

(522h) Integrating Machine Learning-Based Sensing with Model Predictive Control
Helen Durand