Application of PBSID and Structured $\mathrm{H}_{\infty}$ Methods in Unmanned Helicopter System Identification

This study focuses on the model identification problem of an unmanned helicopter. Two identification approaches are evaluated, a subspace method and a combined method. The work gives detailed analysis of time-domain and frequency-domain simulations. Results show that both approaches can match the time-domain and frequency-domain responses of the original data in a good degree. The combined method is reliable in extracting structured dynamic models.