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Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme

机译:基于正交匹配追踪方案的Hammerstein时滞系统参数估计算法

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摘要

This study focuses on the parameter estimation of Hammerstein non-linear systems with unknown time-delay and coloured noise. By means of the compressed sensing recovery theory and the auxiliary model identification idea, an orthogonal matching pursuit based iterative algorithm is proposed for estimating the system parameters and the time delay. The proposed algorithms can give highly accurate parameter estimates from a small number of observations. Two simulation examples are provided to test the proposed algorithms.
机译:这项研究的重点是未知时滞和有色噪声的Hammerstein非线性系统的参数估计。借助压缩感知恢复理论和辅助模型辨识思想,提出了一种基于正交匹配追踪的迭代算法,用于估计系统参数和时延。所提出的算法可以从少量观察结果中得出高度准确的参数估计值。提供了两个仿真示例来测试所提出的算法。

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