Physical System Identification using Python/MATLAB – Training Services

Physical System Identification using Python/MATLAB – Training Services provides comprehensive training on modeling and analyzing dynamic physical systems based on experimental or simulated data. The course covers system identification techniques such as parametric modeling, transfer function estimation, state-space modeling, and recursive algorithms. Participants will use Python and MATLAB to derive models from input-output data, validate system behavior, and predict future dynamics. Emphasis is placed on noise handling, model accuracy, parameter estimation, and visualization of system responses. Case studies demonstrate applications in mechanical systems, control engineering, electrical circuits, and thermal processes. Hands-on sessions provide practical experience in coding, implementing identification algorithms, and interpreting results for real-world physical systems. By the end, participants will be proficient in developing accurate computational models from observed system data.