Systems and Process Control | |||
| Session 642 - Process Modeling and Identification I | |||
| This session focuses on theoretical and application results in the area of process modeling and identification. Topics of interest include, but are not limited to: data-driven and theoretical modeling, novel identification algorithms, identification and validation under conditions of inadequate and/or incomplete data, and identification ofnonlinear systems. Applications in nontraditional processes and systems are of particular interest. | |||
| Chair: | Derrick Rollins | ||
| CoChair: | Manish Misra | ||
| 642a | An Input/Output Approach to Control of Distributed Chemical Reactors Panagiotis D. Christofides, Mingheng Li | ||
| 642b | Estimation of Noise Covariances and Disturbance Structure from Data Using Least Squares with Optimal Weighting Murali R. Rajamani, James B. Rawlings | ||
| 642c | Gray-Box Modeling of an Integrated Plant with Incomplete Dynamic Information Thidarat Tosukhowong, Jay H. Lee | ||
| 642d | Practical Challenges in Bayesian Modeling and Elicitation of Probabilistic Information Hongshu Chen, Bhavik R. Bakshi, Prem K. Goel | ||
| 642e | An Optimization-Based Approach to Improving the Identifiability of Nonlinear Large-Scale Systems Harvey Arellano-Garcia, Richard Faber, Guenter Wozny | ||
| 642f | A Continuous-Discrete Extended Kalman Filter Algorithm for Prediction-Error-Modelling John Bagterp Jorgensen, Morten Rode Kristensen, Per Grove Thomsen, Henrik Madsen | ||
| 642g | Accurate Model Identification for Non-Invertible Mimo Sandwich Block-Oriented Processes Swee-Teng Chin, Derrick Rollins | ||
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