Parameter Estimation of Systems Described by the Relation with Noisy Observations

Простая страница элемента
dc.creatorŚwiątek,Jerzy
dc.date2007
dc.date.accessioned2024-02-06T12:55:06Z
dc.date.available2024-02-06T12:55:06Z
dc.descriptionIn 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.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-013-02-0199
dc.identifierhttps://lib.jucs.org/article/28735/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9269
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 13(2): 199-208
dc.subjectsystem identification
dc.subjectparameter estimation
dc.subjectinput-output system
dc.subjectrelational systems
dc.subjectknowledge representation
dc.titleParameter Estimation of Systems Described by the Relation with Noisy Observations
dc.typeResearch Article
Файлы
Коллекции