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基于BP神经网络的非线性广义预测控制
引用本文:冯伟,张安年,丁喆.基于BP神经网络的非线性广义预测控制[J].河南科技大学学报(自然科学版),2009,30(2).
作者姓名:冯伟  张安年  丁喆
作者单位:河南科技大学,电子信息工程学院,河南,洛阳,471003
基金项目:河南省教育厅软科学项目 
摘    要:广义预测控制在理论上已经有了很深的研究,并在工业控制中获得了应用,但广义预测控制存在着模型失配和系统不确定等缺陷.为克服上述缺陷,本文提出基于BP神经网络建立一个对象模型,用修正的误差预测值对输出预测值进行补偿,从而实现对被控对象的预测控制.通过Matlab仿真,表明神经网络预测控制对非线性系统具有较好的控制效果.

关 键 词:广义预测控制  BP神经网络  非线性系统

Nonlinear Generalized Predictive Control Based on BP Neural Network
FENG Wei,ZHANG An-Nian,DING Zhe.Nonlinear Generalized Predictive Control Based on BP Neural Network[J].Journal of Henan University of Science & Technology:Natural Science,2009,30(2).
Authors:FENG Wei  ZHANG An-Nian  DING Zhe
Institution:Electronic Information Engineering College;Henan University of Science & Technology;Luoyang 471003;China
Abstract:The generalized predictive control is widely researched in theory and has obtained the application in the industrial control,but there are defects of the modeling mismatch and uncertainty of the system.To overcome the defects,an error predictive model is built based on BP neural network by using error predictive value to compensate output in order to control the control system.Simulation results of Matlab show that predictive control of neural network can take on the good performances of nonlinear predictiv...
Keywords:Generalized predictive control  BP neural network  Non-linear system  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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