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Design of a recursive parametric estimation algorithm for nonlinear system described by a Hammerstein mathematical model

机译:Hammerstein数学模型描述的非线性系统递归参数估计算法的设计

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摘要

In this communication, a recursive parametric estimation algorithm is developed for the parametric estimation of nonlinear systems which can be described by a Hammerstein mathematical model. The formulation of this parametric estimation problem is made by using the method of the adjustable model and the least squares techniques. The stability analysis of the parametric estimation algorithm is made by using the Lyaponov theory. The performance of the developed recursive parametric estimation algorithm is illustrated using data from an experimental acid-base neutralization process.
机译:在这种通信中,为非线性系统的参数估计开发了递归参数估计算法,该算法可以由Hammerstein数学模型描述。通过使用可调模型的方法和最小二乘法来制定此参数估计问题。利用Lyaponov理论对参数估计算法的稳定性进行了分析。使用来自实验酸碱中和过程的数据说明了开发的递归参数估计算法的性能。

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