Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique
Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique
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DOI：
10.1007/s11071-014-1338-9
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发表时间：
2014-03
影响因子：
5.6
通讯作者：
Cheng Wang;Tao Tang
中科院分区：
文献类型：
--
作者：
Cheng Wang;Tao Tang
本文研究了一类具有彩色噪声的非线性系统的迭代辨识问题，该系统可以用参数线性输出误差自回归模型来描述。利用分解技术和滤波技术，提出了基于梯度的迭代（GI）算法、滤波后的GI算法和滤波后的三阶段GI算法，并对它们的计算效率进行了分析和比较。仿真结果表明，该算法能有效地估计非线性系统的参数。
This paper considers iterative identification problems for a class of nonlinear systems with colored noises, which can be described by a linear-in-parameters output error autoregressive model. A gradient-based iterative (GI) algorithm, a filtered GI algorithm, and a filtered three-stage GI algorithm are developed using the decomposition technique and filtering technique, and their computational efficiencies are analyzed and compared. The simulation results indicate that the proposed algorithms can estimate effectively the parameters of nonlinear systems.