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Estimation and Control Under Uncertainty

Chair(s):
Yenkie, K., Rowan University
Co-chair(s):
Gupta, D., University of Wisconsin-Madison

The session welcomes contributions on methods for characterizing, quantifying, and mitigating uncertainty in estimation, control, and real-time optimization tasks. Theoretical, algorithmic and application topics are encouraged.

Papers:
8:00 AM
(17a) Model Based Fault Detection and Isolation for Non-Linear Systems with Disturbance Decoupling
8:15 AM
(17b) Robust Multi-Scenario MPC with Embedded Closed-Loop Prediction
8:30 AM
(17c) Nonlinear State and Parameter Estimation for Differential-Algebraic Equation Systems with Uncertain Algebraic Equations and Unknown Noise Covariance
8:45 AM
(17d) State Estimation and Model Predictive Control of Nonlinear Processes Using Recurrent Neural Network Models
9:00 AM
(17e) State Estimation of System Measurements with Edgeworth-Expanded Gross Errors Using Generalized Singular Value Decomposition
9:15 AM
(17f) Learning-Based MPC with State-Dependent Uncertainty Using Adaptive Scenario Trees
9:30 AM
(17g) A Hybrid Model Based Model Predictive Control Strategy for Particle Processes
9:45 AM
(17h) State Estimation and Controller Design Using Dynamic Model Reduction for Agro-Hydrological System
Topics: 
Process Automation & Control

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Individuals

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