OptiImal l1 estimation

Petros G Voulgaris

doi:10.1109/AEROCS.1993.720949

OptiImal l¹ estimation

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English (US)
Pages	314-318
Number of pages	5
DOIs	https://doi.org/10.1109/AEROCS.1993.720949
State	Published - Jan 1 1993
Event	1st IEEE Regional Conference on Aerospace Control Systems, AEROCS 1993 - Westlake Village, United States Duration: May 25 1993 → May 27 1993

Conference

Conference	1st IEEE Regional Conference on Aerospace Control Systems, AEROCS 1993
Country	United States
City	Westlake Village
Period	5/25/93 → 5/27/93

ASJC Scopus subject areas

Aerospace Engineering
Control and Systems Engineering
Control and Optimization

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10.1109/AEROCS.1993.720949

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