Adaptive Tracking Control for a Class of Stochastic Mechanical Systems

被引：0

作者：

Cui, Ming-Yue ^{[1
]}

Wu, Zhao-Jing ^{[2
]}

Xie, Xue-Jun ^{[1
]}

机构：

[1] Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China

[2] Yantai Univ, Sch Math & Informat Sci, Shandong 264005, Peoples R China

来源：

2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV) | 2012年

关键词：

Stochastic Lagrangian systems; Adaptive tracking; Mechanics model; NONLINEAR-SYSTEMS; DESIGN;

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 focuses on the problem of adaptive tracking for a class of stochastic mechanical control systems with unknown parameters. By reasonably introducing random noise, a method to construct stochastic Lagrangian control systems is given. Under some milder assumptions, an adaptive tracking controller is designed such that the mean square of the tracking error converges to an arbitrarily small neighborhood of zero by tuning design parameters.

引用

页码：1274 / 1279

页数：6

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