%0 Journal Article
%T Fast Time-varying modal parameter identification algorithm based on two-layer linear neural network learning for subspace tracking
%A Kai Yang
%A Kaiping Yu
%J International Journal of Information Engineering and Electronic Business
%D 2011
%I MECS Publisher
%X The key of fast identification algorithm of time-varying modal parameter based on subspace tracking is to find efficient and fast subspace-tracking algorithm. This paper presents a modified version of NIC(Novel Information Criterion) adopted in two-layer linear neural network learning for subspace tracking, which is applied in time-varying modal parameter identification algorithm based on subspace tracking and get a new time-varying modal parameter identification algorithm. Comparing with the original subspace-tracking algorithm, there is no need to set a key control parameter in advance. Simulation experiments show that new time-varying modal parameter identification algorithm has a faster convergence in the initial period and a real experiment under laboratory conditions confirms further its validity of the time-varying modal identification algorithm presented in this paper.
%K subspace tracking
%K time-varying modal parameter
%K identification algorithm
%K neural network learning
%U http://www.mecs-press.org/ijieeb/ijieeb-v3-n1/v3n1-3.html