Robustness analysis of linear estimators
| dc.contributor | Halverson, D. R. | |
| dc.creator | Tayade, Rajeshwary | |
| dc.date.accessioned | 2004-09-30T02:05:43Z | |
| dc.date.accessioned | 2017-04-07T19:48:36Z | |
| dc.date.available | 2004-09-30T02:05:43Z | |
| dc.date.available | 2017-04-07T19:48:36Z | |
| dc.date.created | 2005-05 | |
| dc.date.issued | 2004-09-30 | |
| dc.description.abstract | Robustness of a system has been defined in various ways and a lot of work has been done to model the system robustness , but quantifying or measuring robustness has always been very difficult. In this research we consider a simple system of a linear estimator and then attempt to model the system performance and robustness in a geometrical manner which admits an analysis using the differential geometric concepts of slope and curvature. We try to compare two different types of curvatures, namely the curvature along the maximum slope of a surface and the square-root of the absolute value of sectional curvature of a surface, and observe the values to see if both of them can alternately be used in the process of understanding or measuring system robustness. In this process we have worked on two different examples and taken readings for many points to find if there is any consistency in the two curvatures. | |
| dc.identifier.uri | http://hdl.handle.net/1969.1/500 | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.subject | Robust estimation | |
| dc.subject | Linear estimation | |
| dc.subject | Gaussian curvature | |
| dc.subject | differential geometry | |
| dc.title | Robustness analysis of linear estimators | |
| dc.type | Book | |
| dc.type | Thesis |