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

摘要

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. In this paper, we will show the design procedure of neural-net based MM and discuss how does it work in details.