基于神经网络的一类非线性系统自适应跟踪控制(英文)

被引:2
作者
牛玉刚
邹云
杨成梧
机构
[1] 南京理工大学动力学院!南京
关键词
神经网络; 非线性系统; 输出跟踪; 逼近误差; 自适应控制;
D O I
暂无
中图分类号
TP183 [人工神经网络与计算];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
提出一种非线性系统的自适应神经跟踪控制方案 .通过利用RBF神经网络对未知非线性系统建模 ,并用一个滑模控制项消除网络建模误差和外部干扰的影响 ,从而能够保证闭环系统的全局稳定性和输出跟踪误差渐近收敛于零 .
引用
收藏
页码:461 / 464
页数:4
相关论文
共 8 条
[1]  
Hunt. K J,Sbarbaro O,Zbikowski R,et al.Neural networks for control systems - a survey. Automatica . 1992
[2]  
Holcomb T.Local training of RBF networks: toward solving the hidden unit problem. In: Proc. American Control Conference[C], Boston . 1991
[3]  
Fabri S and Kadirkamanathan V.Dynamic structure neural networks for stable adaptive control of nonlinear systems. IEEE Transactions on Neural Networks . 1995
[4]  
Chen FC and Liu C C.Adaptively controlling nonlinear continuoustime systems using multilayer neural network. IEEE Transactions on Automatic Control . 1994
[5]  
SannerRMandSlotineJ JE.Gaussiannetworksfordirectadaptivecontrol. IEEETrans.NeuralNetworks . 1992
[6]  
Jin L,Nikiforuk P N and Gupta M M.Adaptive tracking of SISO nonlinear systems using multilayered neural networks. In: Proc.American Control Conference[C], Chicago . 1992
[7]  
Man Z H.An adaptive tracking controller using neural networks for a class of nonlinear systems. IEEE Transactions on Neural Networks . 1998
[8]  
Polycarpou M M.Stable adaptive neural control scheme for nonlinear systems. IEEE Transactions on Automatic Control . 1996