Process Modeling and Identification

Chair(s):
Chen, D., Lamar University
Co-chair(s):
He, Q. P., Auburn University

This session will highlight data driven and first-principles approaches to process modeling and identification.

Papers:
12:30 PM
(383a) Virtual Metrology As a Big Data Solution to Semiconductor Manufacturing
12:47 PM
(383b) Enabling Discovery and Integration of Process Models and Data Using Ontology in the Domain of Biorefining
1:04 PM
(383c) Multivariable Adaptive Subspace Identification of Blood Glucose Concentration Dynamics for People with Type 1 Diabetes Mellitus
1:21 PM
(383d) Model Reduction and Approximation for Simultaneous Design, Control, and Scheduling
1:38 PM
(383e) Handling Delayed and Irregular Measurements in Batch Subspace Model Identification Framework
1:55 PM
(383f) Design of Experiments for Identification of Model That Is Suitable for Use in Control System
2:12 PM
(383g) How Does a Control Room Operator Identify the Process?  Insights Using a Cognitive Engineering Approach
2:29 PM
(383h) Predictive Control of Lake Levels and Estimation of Stream Flows for the Adaptive      Management Complex Natural Watersheds. Part 1. Estimation
2:46 PM
(383i) Predictive Control of Lake Levels and Estimation of Stream Flows for the Adaptive Management Complex Natural Watersheds. Part 2. Economic Model Predictive Control
Topics: 
Process Automation & Control

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Pricing

Individuals

AIChE Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00