基于最小相空间体积的系统快速辨识方法

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI:10.1109/CyberC.2012.96

Xinzhi Xu, Jingbo Guo

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引用次数: 2

摘要

本文对最小相空间体积(MPSV)方法进行了改进，以识别混沌信号盲驱动的自回归系统。改进后的估计速度大大提高，使MPSV方法更适合工程应用。仿真结果表明，与原MPSV方法相比，该方法可以在更高的速度下获得相同的估计结果。

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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A Fast System Identification Method Based on Minimum Phase Space Volume

In this paper, the minimum phase space volume (MPSV) method is modified to identify an autoregressive (AR) system driven by a chaotic signal blindly. After modification, the estimation speed is much faster than before, which makes the MPSV method more suitable for engineering applications. The simulation results show that, when comparing with the original MPSV method, the proposed method can obtain the same estimation result at a much higher speed.

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来源期刊

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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