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Mean-square error bounds for reduced-error linear state estimators
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Baram, Y. Kalit, G. |
| Copyright Year | 1987 |
| Description | The mean-square error of reduced-order linear state estimators for continuous-time linear systems is investigated. Lower and upper bounds on the minimal mean-square error are presented. The bounds are readily computable at each time-point and at steady state from the solutions to the Ricatti and the Lyapunov equations. The usefulness of the error bounds for the analysis and design of reduced-order estimators is illustrated by a practical numerical example. |
| File Size | 358275 |
| Page Count | 8 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19870010858 |
| Archival Resource Key | ark:/13960/t1ck3928z |
| Language | English |
| Publisher Date | 1987-03-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Stability And Control Linear Systems Liapunov Functions State Vectors Mean Square Values Error Analysis Differential Equations State Estimation Reduced Order Filters Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
