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首页> 外文期刊>Journal of applied mathematics >Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems
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Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems

机译:一类参数线性多输入单输出输出误差系统的最小二乘和梯度迭代参数估计算法

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摘要

The identification of a class of linear-in-parameters multiple-input single-output systems is considered. By using the iterative search, a least-squares based iterative algorithm and a gradient based iterative algorithm are proposed. A nonlinear example is used to verify the effectiveness of the algorithms, and the simulation results show that the least-squares based iterative algorithm can produce more accurate parameter estimates than the gradient based iterative algorithm.
机译:考虑了一类参数线性多输入单输出系统的识别。通过使用迭代搜索,提出了基于最小二乘的迭代算法和基于梯度的迭代算法。通过一个非线性实例验证了算法的有效性,仿真结果表明,基于最小二乘的迭代算法比基于梯度的迭代算法可以产生更准确的参数估计。

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