456 Estimation and Control of Uncertain Systems


Description:
This session will highlight estimation and/or control methods and approaches for dealing with uncertain systems.

Sponsor:
Systems and Process Control


Chair:
Ali Mesbah
Assistant Professor
University of California - Berkeley
Department of Chemical and Biomolecular Engineering
Berkeley, CA
94720
Email: mesbah@berkeley.edu

Co-Chair:
Helen Durand
Assistant Professor
Wayne State University
Chemical Engineering and Materials Science
Detroit, MI
Phone Number: 313-577-3475
Email: helen.durand@wayne.edu


Papers:
456a
Estimating Uncertain Atmospheric Aerosol Dynamics with an Input Observer
Dana L. McGuffin, Carnegie Mellon University; B. Erik Ydstie, Carnegie Mellon University; Peter J. Adams, Carnegie Mellon University
456b
Adaptive Model Predictive Control with Recursive Subspace Identification
Iman Hajizadeh, Illinois Institute of Technology; Mudassir Rashid, Illinois Institute of Technology; Ali Cinar, Illinois Institute of Technology
456c
Robust Model Predictive Control with Decomposed Disturbance Subsets for Less Conservative Control
Tae Hoon Oh, Seoul National University; Jong Min Lee, Seoul National University
456d
A Nonlinear Programming Framework for Estimating Spatial Coupling and Seasonal Transmission Parameters in Disease Transmission
Todd Zhen, Purdue University; Carl D. Laird, Sandia National Laboratories
456e
Active Fault Diagnosis for Stochastic Linear Systems: Design Criteria and Implementation Issues
Tor Aksel N. Heirung, University of California - Berkeley; Ali Mesbah, University of California - Berkeley
456f
Stochastic Multiscale Model-Based Predictive Control Via Polynomial Chaos Theory: Manufacturing of Thin Films for Pharmaceutical Applications
Jonggeol Na, Korea Institute of Science and Technology (KIST); Jong Woo Kim, Seoul National University; Kyeongsu Kim, Seoul National University; Eranda Harinath, Sanofi Genzyme; Mo Jiang, Virginia Commonwealth University; Jong Min Lee, Seoul National University; Bernhardt L. Trout, Massachusetts Institute of Technology; Richard D. Braatz, Massachusetts Institute of Technology
456g
An Improved Set-Based State Estimation Method for Fault Detection and Diagnosis in Highly Nonlinear and Uncertain Chemical Processes
Xuejiao Yang, Clemson University; Joseph Scott, Clemson University
456h
Robust Model Based Control Via Closed-Loop Reference Trajectory Optimization
Hao Li, McMaster University; Christopher L. E. Swartz, McMaster University
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division
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