International Journal of Engineering and Manufacturing (IJEM)
IJEM Vol. 1, No. 6, 5 Dec. 2011
Cover page and Table of Contents: PDF (size: 464KB)
Fast Identification Algorithm of Time-varying Modal Parameter Based on Two-layer Linear Neural Network Learning
Full Text (PDF, 464KB), PP.44-51
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Author(s)
Yang Kai
1,*
Yu Kaiping
1
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 new version of NIC(Novel Information Criterion) using two-layer linear neural network learning for subspace tracking. Comparing with the original algorithm, there is no need to set a key control parameter in advance. Simulation experiments show that new algorithm has a faster convergence in the initial period.
Cite This Paper
Yang Kai,Yu Kaiping,"Fast Identification Algorithm of Time-varying Modal Parameter Based on Two-layer Linear Neural Network Learning", IJEM, vol.1, no.6, pp.44-51, 2011. DOI: 10.5815/ijem.2011.06.07
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