神经网络广义Backstepping预测控制

J4 ›› 2010, Vol. 48 ›› Issue (05): 828-834.

神经网络广义Backstepping预测控制

王彦全¹, |赵衍辉², 杨晓翠², 王海洋^1,3, 王江³, |魏熙乐³

1. 白城师范学院机械电子工程系, 吉林白城 137000|2. 白城师范学院物理系, 吉林白城 137000;3. 天津大学电气与自动化工程学院, 天津 300072

收稿日期:2009-11-29 出版日期:2010-09-26 发布日期:2010-09-21
通讯作者: 王江 E-mail:jiangwang@tju.edu.cn

Neural Networks Predictive Control via Generalized Backstepping

WANG Yan quan¹, ZHAO Yan hui², YANG Xiao cui², WANG Hai yang^1,3, WANG Jiang³, WEI Xi le^3

1. Department of Mechanical and Electronic Engineering, Baicheng Normal College, Baicheng 137000, Jilin Province, China;2. Department of Physics, Baicheng Normal College, Baicheng 137000, Jilin Province, China;3. School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China

Received:2009-11-29 Online:2010-09-26 Published:2010-09-21
Contact: WANG Jiang E-mail:jiangwang@tju.edu.cn

摘要/Abstract

摘要：

提出一种广义Backstepping控制算法和基于广义Backstepping的径向基传输函数(RBF)神经网络控制策略, 分析了闭环系统的Lyapunov稳定性和系统跟踪误差的一致有界性. 并通过仿真实验验证了所提控制方法的正确性和有效性.

关键词: 广义Backstepping; , RBF神经网络; , 预测控制

Abstract:

The authors proposed a generalized Backstepping control algorithm and RBF neural networks predictive control strategy, and analyzed the Lyapunov sense stability and errors of the uniformly ultimately bounded (UUB) system. The validity and effectiveness of this proposed control method were verified via simulations experiment.

Key words: generalized Backstepping; , RBF neural networks; , predictive control

中图分类号:

TP183

王彦全, 赵衍辉, 杨晓翠, 王海洋, 王江, 魏熙乐. 神经网络广义Backstepping预测控制[J]. J4, 2010, 48(05): 828-834.

WANG Pan-Quan, DIAO Yan-Hui, YANG Xiao-Cui, WANG Hai-Xiang, WANG Jiang, Wei-Xi-Le. Neural Networks Predictive Control via Generalized Backstepping[J]. J4, 2010, 48(05): 828-834.

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