Adaptive tracking of stochastic nonlinear systems with Prandtl-Ishlinskii hysteresis

被引：7

作者：

Liu, Wei ^{[1
]}

Ji, Haibo ^{[1
]}

Ma, Yike ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2012年 / 22卷 / 16期

关键词：

adaptive tracking; Prandtl-Ishlinskii hysteresis; stochastic nonlinear systems; disturbance attenuation; UNKNOWN COVARIANCE; STABILIZATION; DRIVEN; NOISE;

D O I：

10.1002/rnc.1781

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 deals with adaptive tracking problems for a class of stochastic nonlinear systems with unknown hysteresis nonlinearities. The system considered is in a strict-feedback form driven by unknown PrandtlIshlinskii hysteresis and Wiener noises of unknown covariance. By employing backstepping design techniques and stochastic Lyapunov design method, parameter adaptive laws and control laws are obtained, which ensure that the tracking error can converge to a small residual set around the origin in the sense of mean quartic value. Copyright (c) 2011 John Wiley & Sons, Ltd.

引用

页码：1779 / 1789

页数：11

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