The variations of non-parametric estimates in closed-loop

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

Fersiynau electronig

Dangosydd eitem ddigidol (DOI)

It is known that non-parametric transfer function estimates in closed-loop often have infinite variance. We characterise the probability density function of such estimates under the assumption that the corresponding closed-loop system estimate has complex normal distribution in the frequency domain. The probability density function can be described as a horseshoe encircling the inverse of the controller, with a global maximum on the line between the true value and the inverse of the controller. The expected value of the absolute value of such estimates is finite, and we propose it as a measure of variation. We also derive and discuss new expressions for the variance when an exclusion zone is introduced around the singularity.
Iaith wreiddiolAnadnabyddus
Tudalennau (o-i)1849-1863
Nifer y tudalennau15
CyfnodolynAutomatica
Cyfrol39
Rhif y cyfnodolyn11
Dyddiad ar-lein cynnar16 Gorff 2003
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 1 Tach 2003
Cyhoeddwyd yn allanolIe
Gweld graff cysylltiadau