基于小波神经网络的非线性系统预测控制研究  

Research on Predictive Control of Nonlinear System Based on Wavelet Neural Network

作　　者：李定华[1] 

机构地区：[1]南通航运职业技术学院机电系,江苏南通226010

出　　处：《南通航运职业技术学院学报》2017年第3期49-52,共4页Journal of Nantong Vocational & Technical Shipping College

摘　　要：文章在介绍小波神经网络优点的基础上,提出了将小波神经网络优异的逼近能力应用于非线性系统预测控制的方案,并建立了预测控制系统的数学模型,通过仿真实验比较小波神经网络和同等规模BP神经网络的性能,对于非线性系统的预测控制具有一定的参考价值。Based on the introduction of the advantages of a wavelet neural network, this article puts forward the plan of applying the excellent approximation ability of wavelet neural network to predictive control of nonlin-ear system, establishes the mathematic model of predictive control system as well as compares the performance of wavelet neural network and equivalent BP neural network through simulation experiments, which is of certain ref-erence value for the predictive control of nonlinear system.

关 键 词：小波神经网络 非线性系统 预测控制 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]