Global convergence conditions in maximum likelihood estimation
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Fersiynau electronig
Dangosydd eitem ddigidol (DOI)
Maximum likelihood estimation has been widely applied in system identification because of consistency, its asymptotic efficiency and sufficiency. However, gradient-based optimisation of the likelihood function might end up in local convergence. In this article we derive various new non-local-minimum conditions in both open and closed-loop system when the noise distribution is a Gaussian process. Here we consider different model structures, in particular ARARMAX, BJ and OE models
Iaith wreiddiol | Anadnabyddus |
---|---|
Tudalennau (o-i) | 475-490 |
Nifer y tudalennau | 16 |
Cyfnodolyn | International Journal of Control |
Cyfrol | 85 |
Rhif y cyfnodolyn | 5 |
Dyddiad ar-lein cynnar | 7 Chwef 2012 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - Mai 2012 |
Cyhoeddwyd yn allanol | Ie |