Identification of Linear Time-Invariant Systems From Frequency-Response Data Corrupted by Bounded Noise

Authors

• Guoxiang Gu, Louisiana State University
• Pradeep Misra, Wright State University - Main CampusFollow

Document Type

Article

Publication Date

1992

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Abstract

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.

Repository Citation

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://corescholar.libraries.wright.edu/ee/276

DOI

10.1049/ip-d.1992.0019