Title : ( Agent-based Centralized Fuzzy Kalman Filtering for Uncertain Stochastic Estimation )
Authors: Farzaneh Tatari , Mohammad Reza Akbarzadeh Totonchi , Majid Mazouchi , Gelareh Javid ,
Full TextAbstract
In 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
Keywords
, agent-based sensor network, centralized fuzzy Kalnian filtering, fuzzy Kalman filter, possibility, result sharing.
@inproceedings{paperid:1019485,
author = {Tatari, Farzaneh and Akbarzadeh Totonchi, Mohammad Reza and Mazouchi, Majid and Javid, Gelareh},
title = {Agent-based Centralized Fuzzy Kalman Filtering for Uncertain Stochastic Estimation},
booktitle = {International Conference on Electronics and Information Engineering-ICEIE 2010},
year = {2009},
location = {IRAN},
keywords = {agent-based sensor network; centralized fuzzy
Kalnian filtering; fuzzy Kalman filter; possibility; result
sharing.},
}
%0 Conference Proceedings
%T Agent-based Centralized Fuzzy Kalman Filtering for Uncertain Stochastic Estimation
%A Tatari, Farzaneh
%A Akbarzadeh Totonchi, Mohammad Reza
%A Mazouchi, Majid
%A Javid, Gelareh
%J International Conference on Electronics and Information Engineering-ICEIE 2010
%D 2009
