Data-Driven Identification of Stochastic Systems via ARMAX Modelling and PRBS Excitation
Bienvenido Engono, Yongli Zhang & Lihui Geng · Journal of Engineering Research and Reports · 2025
The identification of dynamic systems through first-principles modeling often requires detailed knowledge of physical parameters, which may be difficult to obtain and subject to uncertainty, especially in the presence of stochastic disturbances. To overcome this limitation, this...
Open access
Research Article
10.9734/jerr/2025/v27i91634