Title
From frequency response data to state-space models
Document Type
Conference Proceeding
Publication Date
12-1-1995
Abstract
This paper considers system identification in frequency domain where the experimental data is a finite set of noisy frequency response measurement samples. The proposed algorithm consists of a combination of identification in H∞ and a modification of Ho/Kung's algorithm to produce state-space models. The associated modeling error in H∞ norm is analyzed based on the a priori information on the unknown true system as well as the level of noise. Upper bounds are derived for the worst-case identification errors. The proposed algorithm is applied to a typical lightly damped system as studied in [8] that yields impressive simulation results.
Publication Source (Journal or Book title)
Proceedings of the IEEE Conference on Decision and Control
First Page
1252
Last Page
1257
Recommended Citation
Gu, G., Chu, C., & Khargonekar, P. (1995). From frequency response data to state-space models. Proceedings of the IEEE Conference on Decision and Control, 2, 1252-1257. Retrieved from https://repository.lsu.edu/eecs_pubs/366