Modeling and Identification

The focus of this session is on theoretical and experimental results in the area of process modeling and identification. Topics of interest include novel identification algorithms, design of control-relevant input signals, identification and validation under conditions of inadequate and/or incomplete data, model uncertainty quantification, identification of nonlinear systems, and modeling of specific processes. Process modeling and identification techniques applied to nontraditional processes and systems are of particular interest.