Adaptive tracking and recursive identification for Hammerstein systems

Adaptive tracking and recursive identification for Hammerstein systems
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Hammerstein 系统的自适应跟踪和递归识别

DOI:
10.1016/j.automatica.2009.09.009
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发表时间:
2009-12
期刊:
影响因子:
6.4
通讯作者:
Zhao, Wen-Xiao
Zhao, Wen-Xiao
中科院分区:
计算机科学2区
文献类型:
--
作者:
Chen, Han-Fu;Zhao, Wen-Xiao

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针对一类Hammerstein系统,设计了一种基于加权最小二乘(WLS)的自适应跟踪器。证明了跟踪误差是渐近最小的。与激励抑制技术相结合,同时实现了跟踪误差的极小化和系统参数估计的强相合性。给出了数值算例,仿真结果与理论分析一致.
A weighted least squares (WLS) based adaptive tracker is designed for a class of Hammerstein systems. It is proved that the tracking error is asymptotically minimized. Incorporating with the diminishing excitation technique, the minimality of the tracking error and strong consistency of the estimates for parameters of the system are simultaneously achieved. Numerical examples are given and the simulation results are consistent with the theoretical analysis.
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