Predictive Control and Optimization | AIChE

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Predictive Control and Optimization

Chair(s)

Durand, H., Wayne State University

Co-chair(s)

Yin, X., Nanyang Technological University

This session includes contributions on new formulations for predictive control and real-time optimization, as well as novel solution algorithms for the associated formulations.

Presentations

3:30 PM
(491a) Real-Time Optimization with Changing Active Constraints Solved through Decentralized Feedback Control
3:48 PM
(491b) Neural Ordinary Differential Equation Modeling for Predictive Control of Nonlinear Processes
4:06 PM
Break
4:24 PM
(491d) Efficient Solution of Mixed Integer Model Predictive Control Problems Via Benders Decomposition
4:42 PM
(491e) A Closed-Loop Integrated Scheduling and Control Formulation for Processes Controlled By Distributed MPC Systems
5:00 PM
(491f) Multi-Time-Scale Model Predictive Quality Control Via Multi-Parametric Programming
5:18 PM
(491g) Advancing Digital Twins in Chemical Systems: A Novel Time-Series Transformer (TST)-Based Hybrid Modeling Approach
5:36 PM
(491h) Solving a Robust Multi-Scenario Dynamic Real-Time Optimization with Closed-Loop Prediction Via Generalized Benders Decomposition

Topics 

Process Automation & Control

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Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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