Conference
Nonlinear state estimation using neural filters
Abstract
In this paper we present procedures for estimating the state of a nonlinear dynamical system, which are based on the use of radial basis function (RBF) networks. Experimental results are presented, which compare the performance of this approach with that of J.T. Lo published in 1995.
Authors
Haykin S; Yee P
Volume
2
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 1996
DOI
10.1109/milcom.1996.569416
Name of conference
Proceedings of MILCOM '96 IEEE Military Communications Conference