Interactive Session: Systems and Process Control | AIChE

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Interactive Session: Systems and Process Control

Chair(s)

Lima, F., West Virginia University

Co-chair(s)

Mesbah, A., University of California, Berkeley

This poster session welcomes contributions pertaining to the development of new process control methods and/or the application of control methods to novel processes.

Presentations

3:30 PM
(363j) Modelling of Fluid Flow and Mass Transfer in a Multi-Channel Microfluidic Reactor Using Computational Fluid Dynamics.
3:30 PM
(363g) Data Driven Discovery of Chemical Reaction Kinetics
3:30 PM
(363ac) Data-Driven ARX Models with Measurable Disturbances for Model Predictive Control (MPC) of Crop Irrigation
3:30 PM
(363o) Nonlinear Model Predictive Control for the Dividing Wall Column
3:30 PM
(363v) Online Impedance Analysis Using Chirp Signals in Linear and Non-Linear Systems
3:30 PM
(363k) Multiscale Modeling and Control of Spray Coating of Quantum Dots
3:30 PM
(363x) Directed Randomization to Detect for Cyberattacks on Nonlinear Systems Under Lyapunov-Based Economic Model Predictive Control
3:30 PM
(363q) Model Predictive Control Considering Stochastic Heat Generation for Thermal Management of Electric Vehicle
3:30 PM
(363c) Process Operability Mapping Using Neural Networks
3:30 PM
(363h) Comparing Reinforcement Learning and Bayesian Optimization for Tuning MPC Policies
3:30 PM
(363u) Tuning MPC through System-Level Parameterization and Inverse Optimization
3:30 PM
(363ad) Adaptive Economic Model Predictive Control for Batch Processes: Application to Rotational Molding Process
3:30 PM
(363ab) Operator's Eye Gaze Analytics for Evaluating Usability of Human Machine Interfaces in Process Control Applications
3:30 PM
(363z) Constraint-Dropping in Cutting-Set Based Robust Optimization: Enabling Robust Heat Pump Allocation
3:30 PM
(363d) Selection of Self-Optimizing Controlled Variables Using Principal Component Analysis
3:30 PM
(363t) Data-Gathering Lyapunov-Based Economic Model Predictive Control: Considering Interpretability and Physics-Based Model Selection
3:30 PM
(363e) A Data-Driven Dynamic Modeling Methodology Based on POD/Oed/ANNs Method for Large-Scale Dynamic Systems
3:30 PM
(363y) Pipelines Multi-Product Scheduling and Delivering By Model Predictive Control
3:30 PM
(363ae) Online Data-Driven Closed-Loop Model Predictive Control of Nonlinear Systems Using Artificial Neural Networks
3:30 PM
(363i) CFD Modeling of Gravity Separator with PID Interface Controller
3:30 PM
(363f) Machine Learning and System Identification for Dynamical Systems: A Comparative Review
3:30 PM
(363m) Continuous and Discrete Control of Flow Networks
3:30 PM
(363a) Cost-Optimal Multi-Effect Mechanical Vapor Recompression Evaporation Configuration in Pulp and Paper Industry
3:30 PM
(363l) Matrix Non-Structural Model and Its Application in Heat Exchanger Network without Split Streams
3:30 PM
(363aa) Modeling and Predictive Control of the Coffee-Ring Effect in Coalescing QD-Droplets
3:30 PM
(363w) A New MILP Formulation for Scheduling Cleaning in Heat Exchanger Networks Consisting of Multi-Pass Heat Exchangers

Topics 

Process Automation & Control

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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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