17 Estimation and Control Under Uncertainty

Monday, November 16, 2020: 8:00 AM - 9:00 AM
Computing and Systems Technology Division (10) (PreRecorded+)

Description:
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.

Sponsor:
Systems and Process Control
Chair:
Kirti M. Yenkie Email: yenkie@rowan.edu
Co-Chair:
Dhruv Gupta Email: dhruv.gupta@exxonmobil.com
- indicates paper has an Extended Abstract file available on the online proceeding.



(17a) Model Based Fault Detection and Isolation for Non-Linear Systems with Disturbance Decoupling
Sunjeev Venkateswaran and Costas Kravaris


(17b) Robust Multi-Scenario MPC with Embedded Closed-Loop Prediction
Lloyd MacKinnon and Christopher L. E. Swartz


(17c) Nonlinear State and Parameter Estimation for Differential-Algebraic Equation Systems with Uncertain Algebraic Equations and Unknown Noise Covariance
Vivek Saini and Debangsu Bhattacharyya


(17d) State Estimation and Model Predictive Control of Nonlinear Processes Using Recurrent Neural Network Models
Mohammed Alhajeri, Zhe Wu and Panagiotis D. Christofides

File available
(17e) State Estimation of System Measurements with Edgeworth-Expanded Gross Errors Using Generalized Singular Value Decomposition
Gbolahan Dada and Antonios Armaou


(17f) Learning-Based MPC with State-Dependent Uncertainty Using Adaptive Scenario Trees
Angelo D. Bonzanini, Joel Paulson and Ali Mesbah


(17g) A Hybrid Model Based Model Predictive Control Strategy for Particle Processes
Rasmus Fjordbak Nielsen, Krist V. Gernaey and Seyed Soheil Mansouri


(17h) State Estimation and Controller Design Using Dynamic Model Reduction for Agro-Hydrological System
Soumya Sahoo and Jinfeng Liu
See more of this Group/Topical: Computing and Systems Technology Division
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