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contributor authorفرزانه تاتاریen
contributor authorمحمدرضا اکبرزاده توتونچیen
contributor authorمجید مازوچیen
contributor authorگلاره جاویدen
contributor authorFarzaneh Tatarifa
contributor authorMohammad Reza Akbarzadeh Totonchifa
contributor authorMajid Mazouchifa
contributor authorGelareh Javidfa
date accessioned2020-06-06T14:00:09Z
date available2020-06-06T14:00:09Z
date copyright11/10/2009
date issued2009
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/3378325?show=full
description abstractIn this paper, we investigate the problem of agent-

based centralized fuzzy Kalman filters observing an uncertain

physical process with parametric uncertainties. An agent-

based sensor nehvork is a distributed system which consists of

sensors with limited computational capabilities. In our agent-

based sensor network we consider sensor agents and a

moderator agent. Any of these sensor agents have limited

computational capabilities and also may be affected Av

different noises. Agents derive the information in the form of

fuzzy states from their fuzzy Kalrnan filters, the estimated fuzzy

states would be transmitted to the. moderator agent for

aggregation and result sharing by any sensor agent. The

moderator agent fuses the fuzzy estimations to generate the

global state estimations which is highly reliable
en
languageEnglish
titleAgent-based Centralized Fuzzy Kalman Filtering for Uncertain Stochastic Estimationen
typeConference Paper
contenttypeExternal Fulltext
subject keywordsagent-based sensor networken
subject keywordscentralized fuzzy

Kalnian filtering
en
subject keywordsfuzzy Kalman filteren
subject keywordspossibilityen
subject keywordsresult

sharing
en
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1019485.html
conference titleInternational Conference on Electronics and Information Engineering-ICEIE 2010en
identifier articleid1019485


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