Parameter Estimation of Systems Described by the Relation with Noisy Observations
Дата
Авторы
Świątek,Jerzy
Journal Title
Journal ISSN
Volume Title
Издатель
Journal of Universal Computer Science
Аннотация
Описание
In this paper the problem of parameter estimation of an input-output system is discussed. It is assumed that the system is described by the relation known with accuracy to some parameters. The possible noisy observations of system are described. The estimation algorithm based on maximum likelihood method is proposed. The presented approach is illustrated by analytical examples.
Ключевые слова
system identification , parameter estimation , input-output system , relational systems , knowledge representation