Abstract
This paper describes the black-box modeling of steam temperature based on the real-time data. The AutoRegressive eXogenous (ARX) model structure was selected in this initial work. The real-time data obtained using a computer-based data acquisition system from a pilot-scale distillation column. A Pseudo-Random Binary Sequence (PRBS) was chosen as the input signal. Input signal and measured data were interfaced to the plant via Visual Basic programming. The System Identification Toolbox in MATLAB package was used for PRBS signal generation, modeling and validation.
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