Identification of linear time-invariant systems from frequency-response data corrupted by bounded noise
A unified approach is developed for identification of linear time-invariant systems. It is shown that, given the experimental frequency-response data of the system, the plant can be identified using a simple, numerically reliable algorithm. Further, an error bound is derived for exponentially stable systems when the frequency-response data are corrupted by bounded noise. An example is presented to illustrate the proposed algorithm.
Publication Source (Journal or Book title)
IEE Proceedings D: Control Theory and Applications
Gu, G., & Misra, P. (1992). Identification of linear time-invariant systems from frequency-response data corrupted by bounded noise. IEE Proceedings D: Control Theory and Applications, 139 (2), 135-140. https://doi.org/10.1049/ip-d.1992.0019