2017 Annual Meeting

Session: Estimation and Control of Uncertain Systems

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

Chair

Ali Mesbah, University of California, Berkeley

Co-Chair

Joseph Scott, Georgia Institute of Technology

Presentations

08:00 AM

(284a) Combination of Stochastic NMPC/DRTO and Dynamic (re-)Evaluation of the Description of Model Uncertainty in the Optimization of Batch Campaigns
Francesco Rossi, Flavio Manenti, Guido Buzzi-Ferraris, Gintaras Reklaitis

08:19 AM

(284b) Autocovariance-Based Model Mismatch Diagnosis for MPC with State Estimation
Jodie Simkoff, Siyun Wang, Michael Baldea, Leo Chiang, Ivan Castillo, Rahul Bindlish, David Stanley

08:38 AM

(284c) A Tractable Method for Closed-Loop Active Fault Diagnosis of Stochastic Linear Systems
Tor Aksel N. Heirung, Joel Paulson, Richard D. Braatz, Ali Mesbah

08:57 AM

(284d) Set-Membership Nonlinear Regression Approach to Parameter Estimation
Nikola D. Peric, Benoit Chachuat

09:16 AM

(284e) Model Predictive Control Under Model Structural Uncertainty
Bjarne Foss, Sigurd Skogestad, Dinesh Krishnamoorthy

09:35 AM

(284f) Passivity-Based Observer and Application in Reaction Heat Estimation
Zixi Zhao, B. Erik Ydstie

09:54 AM

(284g) Parameter Estimation and Process Optimization of Heterogeneous Batch Reactors Under Uncertainty
Yajun Wang, Mukund Patel, John Wassick, Lorenz Biegler

10:13 AM

(284h) Rapid and Accurate Fault Detection and Diagnosis for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques
Joseph Scott, Kai Shen, Xuejiao Yang