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Predicting test data of aluminum honeycomb sandwich board based on volterra adaptive filters

本站小编 哈尔滨工业大学/2019-10-23

Predicting test data of aluminum honeycomb sandwich board based on volterra adaptive filters

HE Rui1, LUO Wen-bo2, WANG Ben-li1, KONG Xian-ren1

1.Research on Center of Satellite Technology,Harbin Institute of Technology,Harbin 150086,China;2.China Academy of Space Technology,Beijing 100086,China



Abstract:

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 Volterra 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.

Key words:  chaotic behavior  Volterra  aluminum honeycomb sandwich board  random test

DOI:10.11916/j.issn.1005-9113.2011.01.027

Clc Number:TN713

Fund:


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