Robust adaptive observer design for uncertain systems with bounded disturbances

被引：0
|
作者：
Stepanyan, Vahrarn [1 ]
Hovakimyan, Naira [1 ]
机构：
[1] Virginia Polytech Inst & State Univ, Dept Aerosp & Ocean Engn, Blacksburg, VA 24061 USA
来源：
2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a robust adaptive observer design methodology for a class of uncertain nonlinear systems in the presence of time-varying unknown parameters and non-vanishing disturbances. Using the universal approximation property of radial basis function neural networks and the adaptive bounding technique the developed observer achieves asymptotic convergence of state estimation error to zero, while ensuring boundedness of parameter errors. A comparative simulation study is presented by the end.
引用
收藏
页码：7750 / 7755
页数：6
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