一类带有死区模型的随机系统的自适应跟踪控制

朱柏城,张天平,王飞

系统科学与数学 ›› 2012, Vol. 32 ›› Issue (11) : 1331-1342.

PDF(570 KB)
PDF(570 KB)
系统科学与数学 ›› 2012, Vol. 32 ›› Issue (11) : 1331-1342. DOI: 10.12341/jssms11990
论文

一类带有死区模型的随机系统的自适应跟踪控制

    朱柏城,张天平,王飞
作者信息 +

ADAPTIVE TRACKING CONTROL FOR A CLASS OF STOCHASTIC SYSTEMS WITH DEAD-ZONE MODEL

    ZHU Baicheng ,ZHANG Tianping ,WANG Fei
Author information +
文章历史 +

摘要

针对一类带有死区模型的随机严格反馈非线性系统,利用神经网络的逼近能力和后推设计方法,提出一种神经网络自适应跟踪控制方案. 与已有文献相比,该方案取消了控制律和自适应律设计必须与神经网络节点数相关的条件.通过Lyapunov方法, 证明了闭环系统的所有信号依概率有界,且误差信号在二阶或四阶矩意义下半全局一致终结有界.仿真结果验证了所提控制方案的有效性.

Abstract

By using the approximation capability of neural networks and the backstepping method, an adaptive neural network control scheme is proposed for a class of stochastic strictfeedback nonlinear systems with dead-zone model. Compared with the existing literature, the proposed approach eliminates the condition that the controller and adaptation law should be related to the nodes of neural network. By Lyapunov method, it is shown that all signals in the closed loop system are bounded in probability, and the error signals are semi-globally uniformly ultimately bounded in mean square or the sense of four-moment.  imulation results are given to illustrate the effectiveness of the proposed control scheme.

关键词

随机非线性系统 / 自适应控制 / 神经网络 / 后推 / 死区模型.

引用本文

导出引用
朱柏城,张天平,王飞. 一类带有死区模型的随机系统的自适应跟踪控制. 系统科学与数学, 2012, 32(11): 1331-1342. https://doi.org/10.12341/jssms11990
ZHU Baicheng ,ZHANG Tianping ,WANG Fei. ADAPTIVE TRACKING CONTROL FOR A CLASS OF STOCHASTIC SYSTEMS WITH DEAD-ZONE MODEL. Journal of Systems Science and Mathematical Sciences, 2012, 32(11): 1331-1342 https://doi.org/10.12341/jssms11990
中图分类号: 93E35   
PDF(570 KB)

273

Accesses

0

Citation

Detail

段落导航
相关文章

/