Data driven approach for performance assessment of linear and nonlinear Kalman filters

Show simple item record

dc.contributor.author Das, Laya
dc.contributor.author Srinivasan, Babji
dc.contributor.author Rengaswamy, Raghunathan
dc.contributor.other The 2014 American Control Conference
dc.coverage.spatial Portland, US
dc.date.accessioned 2014-04-26T04:49:21Z
dc.date.available 2014-04-26T04:49:21Z
dc.date.issued 2014-01-04
dc.identifier.citation Das, Laya; Srinivasan, Babji and Rengaswamy, Raghunathan, "Data driven approach for performance assessment of linear and nonlinear Kalman filters", in the 2014 American Control Conference, Portland, US, Jun. 4-6, 2014. [To appear] en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1251
dc.description.statementofresponsibility by Laya Das, Babji Srinivasan and Raghunathan Rengaswamy
dc.language.iso en en_US
dc.subject Algorithms en_US
dc.subject Cubature kalman filters en_US
dc.subject Kalman Filtering en_US
dc.subject Linear constraints en_US
dc.subject Linear control systems en_US
dc.subject Multidimensional signal processing en_US
dc.subject Non-linear estimation en_US
dc.subject Nonlinear state estimation en_US
dc.subject Unscented Kalman filter en_US
dc.title Data driven approach for performance assessment of linear and nonlinear Kalman filters en_US
dc.type Article en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account