Calibration of Physical Models with Process Data using FIR Filtering

Enso Ikonen, Istvan Selek
2020 2020 Australian and New Zealand Control Conference (ANZCC)  
Automatic calibration of physical plant models in the context of monitoring and control of industrial processes is considered. A structure integrating a physical model and estimated FIR filters is proposed. In addition, a finite state FIR structure is proposed to complement the calibrated physical model with a data-driven mapping. The approach is illustrated in simulations using the van der Vusse CSTR benchmark.
doi:10.1109/anzcc50923.2020.9318340 fatcat:reet6lljtfcxxkvd6drd52cq4a