Predictive Control and Optimization | AIChE

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Predictive Control and Optimization

Chair(s)

Durand, H., Wayne State University

Co-chair(s)

Paulson, J., The Ohio State 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
(644a) Dual Adaptive Model Predictive Control with Disturbances
3:49 PM
(644b) Development of Offset-Free MPC Framework for Hydraulic Fracturing Process Using Sindy
4:08 PM
(644c) Deep Learning-Based Approximate Economic Model Predictive Control with Offset-Free Asymptotic Performance Guarantees Using a Modifier-Adaptation Scheme
4:27 PM
(644d) Machine-Learning-Based Construction of Barrier Functions and Models for Safe Model Predictive Control
4:46 PM
(644e) Efficient Coordination of Plantwide Distributed MPC: The Lyapunov Envelope Algorithm
5:05 PM
(644f) Robust Explicit Model Predictive Control Via Robust Optimization
5:24 PM
(644g) Integration of Scheduling and Optimal Control for Multi-Product Processes Using a Switched Dynamic System Formulation
5:43 PM
(644h) Offset-Free Koopman-Based Model Predictive Control of a Batch Pulp Digester

Topics 

Process Automation & Control
Research and Development

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Pricing

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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