Fast Identification Algorithm of Time-varying Modal Parameter Based on Two-layer Linear Neural Network Learning
Автор: Yang Kai, Yu Kaiping
Журнал: International Journal of Engineering and Manufacturing(IJEM) @ijem
Статья в выпуске: 6 vol.1, 2011 года.
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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.
Subspace tracking, time-varying modal parameter, identification algorithm, neural network learning
Короткий адрес: https://sciup.org/15014250
IDR: 15014250
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