Identification of Stochastic Process in MATLAB


  • Ojonugwa Adukwu Federal University of Technology Akure



System Identification, model structures, process noise


The system identification toolbox in MATLAB has been successfully used to compare model identification of a first order system subjected to high and low disturbances. The model structures used are FIR, ARX, AMX, OE and BJ. The obtained Model was validated using data generated from the actual process. It shows that the more the variance of the noise input into the system, the more difficult it is for the model identified to reproduce that validation data obtained from process response. Also when the measurement noise has zero mean and low variance, the effect on the steady state gain and other process parameters is negligible.


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How to Cite

Adukwu, O. (2019). Identification of Stochastic Process in MATLAB. Asian Journal of Engineering and Technology, 7(3).