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) |
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Pages | 314-318 |
Number of pages | 5 |
DOIs | |
State | Published - 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 |
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Country/Territory | 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