Application of Fuzzy Automata on Target Tracking

Author

Wu, QingE ; Wang, Tuo ; Huang, Yongxuan ; Li, Jisheng

Author_Institution

Xi´´an Jiao Tong Univ., Xi´´an

Volume

2

fYear

2007

fDate

24-27 Aug. 2007

Firstpage

437

Lastpage

441

Abstract

For better target tracking, this paper presents a new viewpoint that is the states fusion of various fuzzy automata, and mainly discusses the algorithm of the fusion on the states of the fuzzy automata in detail. The recurrent neural network architecture corresponding to fuzzy automata is provided for the states fusion of fuzzy automata and the simulation results are given. The simulation results show the target tracking based on the states fusion of the fuzzy automata is better than single state information of the fuzzy automata relatively. Finally, some problems and development trends on the fuzzy automata and the neural networks are presented for future researches.

Keywords

automata theory; fuzzy set theory; recurrent neural nets; target tracking; fuzzy automata application; recurrent neural network architecture; state fusion; state information; target tracking; Encoding; Fuzzy neural networks; Fuzzy systems; Learning automata; Neural networks; Neurons; Recurrent neural networks; Signal processing algorithms; State estimation; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2874-8

Type

conf

DOI

10.1109/FSKD.2007.178

Filename

4406116