随机输入二阶Volterra系统频域辨识的自适应算法

E. Powers, S. Nam, S.B. Kim
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引用次数: 3

摘要

作者描述了两个实用的数字程序(即复杂的RLS和LMS自适应算法),通过测量I/O数据的高阶光谱分析,用于识别受平稳(更准确地说,平稳到四阶)随机输入影响的二阶Volterra系统。通过对张力腿平台在不规则海浪作用下的浪涌响应实验数据的分析,验证了非线性传递函数方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive algorithms for the frequency-domain identification of a second-order Volterra system with random input
The authors describe two practical digital procedures (i.e. complex RLS and LMS adaptive algorithms) for the identification of a second-order Volterra system subject to stationary (more precisely, stationary to order four) random input through the higher-order spectral analysis of the measured I/O data. Also, the validity of the nonlinear transfer function approach is demonstrated by analyzing experimental data of the surge response of a tension leg platform (TLP) to irregular sea waves.<>
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