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 | |
| 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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Cite this
Voulgaris, P. G. (1993). OptiImal l1 estimation. 314-318. Paper presented at 1st IEEE Regional Conference on Aerospace Control Systems, AEROCS 1993, Westlake Village, United States. https://doi.org/10.1109/AEROCS.1993.720949