@inproceedings{b0dfed60990b47dbb495d4034c491628,
title = "Optimal ℓ∞ to ℓ∞ estimation",
abstract = "In this paper we consider the problem of finding a filter that minimizes the worst case magnitude (ℓ∞) of the estimation error in the case of linear time invariant systems subjected to unknown but magnitude bounded (ℓ∞) inputs. These inputs consist of process and observation noise, as well as initial conditions; also, the optimization problem is considered over an infinite time horizon. Taking a model matching approach, suboptimal solutions are presented which stem from the resulting ℓ∞-induced norm minimization problem.",
author = "Petros Voulgaris",
year = "1993",
language = "English (US)",
isbn = "0780308611",
series = "American Control Conference",
publisher = "Publ by IEEE",
pages = "940--944",
editor = "Anon",
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",
}