Title of article
Adaptive tracking and recursive identification for Hammerstein systems
Author/Authors
Zhao، نويسنده , , Wen-Xiao and Chen، نويسنده , , Han-Fu، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
11
From page
2773
To page
2783
Abstract
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.
Keywords
Recursive identification , Optimality , Strong consistency , Adaptive Tracking , Hammerstein system , Weighted least squares
Journal title
Automatica
Serial Year
2009
Journal title
Automatica
Record number
1447873
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