Adaptive control for hysteretic system with unknown control direction

被引：0

作者：

Wang, Jia-li ^{[1
]}

Zhao, Xin-long ^{[1
]}

Ma, Lianwei ^{[2
]}

机构：

[1] Zhejiang Sci Tech Univ, Coll Mech Engn & Automat, Hangzhou, Zhejiang, Peoples R China

[2] Zhejiang Univ Sci & Technol, Dept Automat, Hangzhou, Zhejiang, Peoples R China

来源：

2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2014年

关键词：

Hysteresis; Nussbaum function; RBF neural network; Adaptive control; NONLINEAR-SYSTEMS; ACTUATORS;

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：

For a class of strict-feedback nonlinear systems with hysteresis described by Bouc-Wen model, adaptive controller is proposed combined with backstepping technique. In this method, RBF neural network is used to approximate the unknown function. The unknown control direction is solved by Nussbaum function. It is proved that all the closed-loop signals are bounded, and the tracking error converges to an arbitrarily small field. Finally, the simulation shows the feasibility of the control scheme.

引用

页码：1544 / 1548

页数：5

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