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Identification of linear time-invariant systems from frequency-response data corrupted by bounded noise

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2 Author(s)
G. Gu ; Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA, USA ; P. Misra

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.

Published in:

IEE Proceedings D - Control Theory and Applications  (Volume:139 ,  Issue: 2 )