Mathematical Modeling and System Identification Aspects of Heat Flow Process inside a Closed Box
Sulaymon Eshkabilov, Elyor Madirimov
TL;DR
This paper reviews mathematical modeling and system identification techniques for heat flow inside a closed box, utilizing least squares and MATLAB tools to identify system parameters with experimental validation.
Contribution
It introduces a systematic approach combining least squares and MATLAB-based curve fitting for heat flow system identification in a closed environment.
Findings
Effective parameter identification using least squares method.
Successful application of MATLAB tools and Levenberg-Marquardt algorithm.
Validation with NI Temperature Box experiments.
Abstract
This paper presents review points of mathematical modeling and system identification issues of heat flow process inside a closed box. For system parameter identification, the least squares method is employed and NI Temperature Box is used as a test rig for different reference temperature values. Curve Fitting toolbox and M-file codes written in MATLAB are used based on the Levenberg-Marquardt algorithm in solving least squares equations of the system.
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Taxonomy
TopicsControl Systems and Identification · Advanced Control Systems Optimization · Fault Detection and Control Systems