INFORMATION CHANGE THE WORLD

International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.3, No.1, Feb. 2011

Fast Time-varying modal parameter identification algorithm based on two-layer linear neural network learning for subspace tracking

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Author(s)

Kai Yang,Kaiping Yu

Index Terms

Subspace tracking,time-varying modal parameter,identification algorithm, neural network learning

Abstract

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.

Cite This Paper

Kai Yang,Kaiping Yu,"Fast Time-varying modal parameter identification algorithm based on two-layer linear neural network learning for subspace tracking", IJIEEB, vol.3, no.1, pp.16-22, 2011.

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