非线性系统的复合正交神经网络自适应控制  

Adaptive Control of Compound Orthogonal Neural Networks for Nonlinear Systems

作　　者：赵伟强[1] 

机构地区：[1]绍兴文理学院机电系,浙江绍兴312000

出　　处：《绍兴文理学院学报》2008年第8期34-36,共3页Journal of Shaoxing University

摘　　要：提出非线性系统的复合正交神经网络自适应控制方法.在非线性系统控制中,这种网络自适应控制不需要辨识系统模型与Jacobian矩阵信息,网络学习算法与被控对象模型无关.仿真结果表明,复合正交神经网络实现的非线性系统控制具有较强的自适应控制能力,证明了控制系统具有良好的跟踪控制性能,为解决非线性系统的控制问题提供了一种方法.The adaptive control method using compound orthogonal neural networks for nonlinear systems was proposed in this paper. The network adaptive control needn＇ t identify the system model and information of Jacobean matrix in nonlinear control systems. The network learning algorithm is not relative with the model of controlled plant. The simu- lation results show that the network adaptive control of nonlinear systems has strong adaptive control ability. It is proved that the control system can achieve the good tracking control performance and provide a method for resolving nonlinear control problems.

关 键 词：复合正交神经网络 自适应控制 非线性系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]