Work place: Department of Astronautical Science and Mechanics Harbin Institute of Technology Harbin, 150001, Heilongjiang, China
E-mail: yukp@hit.edu.cn
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Research Interests:
Biography
DOI: https://doi.org/10.5815/ijem.2011.06.07, Pub. Date: 5 Dec. 2011
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.
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