Adaptive stabilization for stochastic parametric-strict-feedback systems with Wiener noises of unknown covariance

被引：16

作者：

Ji, HB ^{[1
]}

Chen, ZF ^{[1
]}

Xi, HS ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2003年 / 34卷 / 02期

关键词：

D O I：

10.1080/0020772031000715632

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An adaptive control design for a class of stochastic parametric-strict-feedback systems is given. The disturbance considered herein is Wiener noise of unknown covariance, which is represented as a simplified unknown parameter. By using stochastic Lyapunov method and backstepping techniques, an adaptive controller was obtained that guaranteed the global asymptotic stabilization in probability.

引用

页码：123 / 127

页数：5

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