@inproceedings{44158d53c77642718b1df831c7964688,
title = "On-line learning of linear systems",
abstract = "We consider the problem of learning/identification of a linear system by sampling its frequency response. A cumulative prediction error type criterion is used to describe the learnability of classes of (continuous- or discrete-time) linear systems which may have discontinuous frequency responses but of bounded variation. Upper and lower bounds are obtained for three input frequency sampling schemes: worst-case, random, and worst-case with small noise on the input frequency. Bounds are also obtained for the random sampling scheme with L1 noise or i.i.d. noise corrupting the frequency response samples.",
author = "Posner, {S. E.} and Kulkarni, {S. R.}",
year = "1993",
doi = "10.23919/acc.1993.4792801",
language = "English (US)",
isbn = "0780308611",
series = "American Control Conference",
publisher = "Publ by IEEE",
pages = "41--42",
booktitle = "American Control Conference",
note = "Proceedings of the 1993 American Control Conference Part 3 (of 3) ; Conference date: 02-06-1993 Through 04-06-1993",
}