On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design

In order to track a maneuvering target, multiple model (MM) methods have been researched. Almost MM algorithms have been developed based on Markov process. However, Markov based MM method is difficult to design and application-dependent. To solve this problem, Daebum Choi, et al proposed basic idea...

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Bibliographic Details
Published inJournal of systemics, cybernetics and informatics Vol. 1; no. 4; pp. 32 - 37
Main Authors Daebum Choi, Monica Samal, Byungha Ahn
Format Journal Article
LanguageEnglish
Published International Institute of Informatics and Cybernetics 01.08.2003
Subjects
Markov-Based MM
Neural Net
Single Maneuvering Target Tracking
VSMM
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Summary:In order to track a maneuvering target, multiple model (MM) methods have been researched. Almost MM algorithms have been developed based on Markov process. However, Markov based MM method is difficult to design and application-dependent. To solve this problem, Daebum Choi, et al proposed basic idea of neural-net based VSMM [5]. In this paper, we will show the design procedure of neural-net based MM and discuss how does it work in details.
ISSN:1690-4524