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Predicting test data of aluminum honeycomb sandwich board based on volterra adaptive filters 被引量:2
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作者 何蕊 罗文波 +1 位作者 王本利 孔宪仁 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2011年第1期145-148,共4页
Random vibration test was done on aluminum honeycomb sandwich board. The result suggested that chaotic behavior is found in the test data. The Volterra expression can not be gained from the input and output data direc... Random vibration test was done on aluminum honeycomb sandwich board. The result suggested that chaotic behavior is found in the test data. The Volterra expression can not be gained from the input and output data directly in this paper. The state space reconstruction was used to convert the system observed data into the quasi-input/output pairs, and the second-order Voherra adaptive filter was used to predict the test data. It is shown that combining the state space reconstruction with the Volterra adaptive filter, these chaotic series could be accurately predicted. 展开更多
关键词 chaotic behavior: Voherra: aluminum honeycomb sandwich board: random test
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