Agent-based Centralized Fuzzy Kalman Filtering for Uncertain Stochastic Estimation
Author:
, , , , , , ,Year
: 2009
Abstract: 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
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
Keyword(s): agent-based sensor network,centralized fuzzy
Kalnian filtering,fuzzy Kalman filter,possibility,result
sharing
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Agent-based Centralized Fuzzy Kalman Filtering for Uncertain Stochastic Estimation
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| contributor author | فرزانه تاتاری | en |
| contributor author | محمدرضا اکبرزاده توتونچی | en |
| contributor author | مجید مازوچی | en |
| contributor author | گلاره جاوید | en |
| contributor author | Farzaneh Tatari | fa |
| contributor author | Mohammad Reza Akbarzadeh Totonchi | fa |
| contributor author | Majid Mazouchi | fa |
| contributor author | Gelareh Javid | fa |
| date accessioned | 2020-06-06T14:00:09Z | |
| date available | 2020-06-06T14:00:09Z | |
| date copyright | 11/10/2009 | |
| date issued | 2009 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3378325 | |
| description abstract | 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 | en |
| language | English | |
| title | Agent-based Centralized Fuzzy Kalman Filtering for Uncertain Stochastic Estimation | en |
| type | Conference Paper | |
| contenttype | External Fulltext | |
| subject keywords | agent-based sensor network | en |
| subject keywords | centralized fuzzy Kalnian filtering | en |
| subject keywords | fuzzy Kalman filter | en |
| subject keywords | possibility | en |
| subject keywords | result sharing | en |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1019485.html | |
| conference title | International Conference on Electronics and Information Engineering-ICEIE 2010 | en |
| identifier articleid | 1019485 |