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Adaptive Identification Via A Modified Least–Squares Algorithm

 

作者: XuHong,   GlumineauA.,  

 

期刊: International Journal of Modelling and Simulation  (Taylor Available online 1992)
卷期: Volume 12, issue 1  

页码: 8-13

 

ISSN:0228-6203

 

年代: 1992

 

DOI:10.1080/02286203.1992.11760140

 

出版商: Taylor&Francis

 

关键词: Identification;least-squares algorithm;adaptive control systems;bursting;excitation;simulation

 

数据来源: Taylor

 

摘要:

abstractThe authors present an adaptive identification method (AIM) primarily for adaptive control systems with insufficient persistent excitation. In this paper, the matrix P(t-l) resetting, a new forgelling factorλ(1), remembering units, and a weighted filtering algorithm are proposed. The AIM technique, using a modified least squares algorithm, is presented in terms of the previously mentioned procedures. Theoretical analyses and simulation results demonstrate that the proposed methodology can overcome the bursting problems thaI sometimes exisl in adaptive control systems.

 

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