Recursive identification of bilinear dynamical systems with noise in output signal

Dmitriy Ivanov, E. U. Bobkova, A. Zharkova
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引用次数: 2

Abstract

A recursive algorithm is proposed for identification single-input-single-output bilinear dynamic systems with output-error. The estimates are proved to be convergent to the true values almost surely (a.s.). The results of a simulated example show that the accuracy of the proposed algorithm is higher than that of recursive least square and recursive extended instrumental variables algorithms.
输出信号中有噪声的双线性动力系统的递归辨识
提出了一种具有输出误差的单输入-单输出双线性动态系统的递归辨识算法。这些估计几乎肯定地收敛于真实值(as)。仿真结果表明,该算法的精度高于递推最小二乘算法和递推扩展工具变量算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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