Interactive Session: Systems and Process Control | AIChE

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Interactive Session: Systems and Process Control

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
(149c) A Machine Learning Assisted Approach to Model Predictive Control with Multi-Objective Optimization and Multi-Criteria Decision Making
3:30 PM
(149z) Reinforcement Learning Based Control of Fed-Batch Production Reactor
3:30 PM
(149g) Multiscale Kinetic Modeling and Optimization: In-Depth Analysis of Cellulose Degradation for Enhanced Pulping Process and Superior Paper Quality
3:30 PM
(149a) Case Studies on the Combined Identification and Offset-Free Control of Chemical Processes (Poster corresponding to plenary presentation)
3:30 PM
(149h) The Theoretical Basis of Ratio Control
3:30 PM
(149o) Data Driven Economic Model Predictive Control of a Rotational Molding Process
3:30 PM
(149ac) Optimization-Based State and Parameter Estimation for Distributed Parameter Pipeline Systems
3:30 PM
(149d) Model Predictive Control of an Axial Dispersion Tubular Reactor with Recycle: A Distributed Parameter System with State Delay
3:30 PM
(149aa) Synthesis of Decarbonized Hydrogen Production Processes Using the Attainable Region Framework
3:30 PM
(149v) Physics-Informed Neural Networks (PINNs) for Modeling Dynamic Processes Based on Limited Physical Knowledge and Data
3:30 PM
(149j) Practical Control Laws with Quantum Computation
3:30 PM
(149b) Fast Zone-Model Predictive Control for Full Battery Pack of Electric Vehicles
3:30 PM
(149s) Parameter Estimation for Bioprocesses Cognizant of Measurement Noise Distribution
3:30 PM
(149f) Dynamic Analysis and Model Predictive Control of a Biochemical Reactor Under Delayed Uncertain Measurement and Multi-Rate Actuation/Sampling
3:30 PM
(149k) Considerations of Space Manufacturing: Utilizing Earth-Based Resources for Modeling and Control Applications While Considering Communication Delay
3:30 PM
(149n) Machine Learning-Based Predictive Irrigation Scheduling
3:30 PM
(149ae) Bayesian Identification of Nonlinear, Sparse, Dynamic Models
3:30 PM
(149y) Physics-Informed Neural Networks (PINNs) for Process Systems with Model Plant Mismatch
3:30 PM
(149u) Advanced Model Predictive Control Strategies for Large-Scale Dynamic Systems Based on Data-Driven Artificial Neural Networks
3:30 PM
(149q) Model-Based Control for Liquid-Liquid Extraction
3:30 PM
(149x) Hybrid Series/Parallel All-Nonlinear Dynamic-Static Stochastic Neural Networks: Development, Training and Application to Chemical Processes
3:30 PM
(149i) Self-Optimizing Control for Secondary Controlled Variable Selection
3:30 PM
(149p) Hybrid Subspace-Rnn Based Approach for Modelling of Non-Linear Processes
3:30 PM
(149w) Parameter Estimation in Bioprocesses Using Bayesian Inference
3:30 PM
(149ad) A Constraint-Based Modeling Framework with Deep Reinforcement Learning and Multi-Objective Optimization for Control of Mammalian Cell Cultures
3:30 PM
(149e) Distributed Control of Integrated Process Systems – an Experimental Study
3:30 PM
(149l) Harnessing Feedback Control Strategy for Improved Core Annular Flow Stability in Heavy Oil Transportation
3:30 PM
(149ab) Considerations of Closed-Loop Control on Quantum Computers Using a Modified Grover’s Algorithm for Simulation of a Chemical Process

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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