3rd joint congress on fuzzy and intelligent systems , 2009-07-15

Title : ( Centralized Fuzzy Kalman Filtering for Uncertain Stochastic System Over Sensor Network )

Authors: Farzaneh Tatari , Mohammad Reza Akbarzadeh Totonchi , ,

Citation: BibTeX | EndNote

In this paper we investigate the problem of centralized fuzzy Kalman filters for sensor network observing an. uncertain physical process with parametric uncertainties. A sensor network is a multi agent system which agents are sensors with limited computational capabilities. In our sensor network we consider three sensors and a central base station. Any of these sensors have limited computational capabilities and also may be affected by different noises. We derive the information in the form of fuzzy states from. the fuzzy Kalman filters, the estimated fuzzy states would be transmitted to the base station by any sensor for the aggregation. In the base station we fuse the fuzzy estimates to generate the global state estimate which is highly reliable.

Keywords

, centralized fuzzy Kaiman filtering, fuzzy Kalman filter, possibility, sensor
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@inproceedings{paperid:1016189,
author = {Tatari, Farzaneh and Akbarzadeh Totonchi, Mohammad Reza and , },
title = {Centralized Fuzzy Kalman Filtering for Uncertain Stochastic System Over Sensor Network},
booktitle = {3rd joint congress on fuzzy and intelligent systems},
year = {2009},
location = {یزد, IRAN},
keywords = {centralized fuzzy Kaiman filtering; fuzzy Kalman filter; possibility; sensor network},
}

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%0 Conference Proceedings
%T Centralized Fuzzy Kalman Filtering for Uncertain Stochastic System Over Sensor Network
%A Tatari, Farzaneh
%A Akbarzadeh Totonchi, Mohammad Reza
%A ,
%J 3rd joint congress on fuzzy and intelligent systems
%D 2009

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