信息与控制2018，Vol.47Issue(1)：36-40,47,6.DOI:10.13976/j.cnki.xk.2018.0036
基于神经网络预测的网络化控制系统故障检测
Fault Detection of Networked Control Systems Based on Neural Network Prediction
摘要
Abstract
The fault detection of the problem affecting the networked control systems was investigated by analyzing the data packet dropout of the sensor. Firstly, the linear matrix inequality based on the iterative algorithm was used to obtain sufficient conditions for the stability of the fault observer. Then, the output of system was deter-mined by applying the predictive controller through the improved neural network to offset the negative impact which has been caused by the packet dropout. The overall error was reduced by adjusting the learning effi-ciency based on the corrected predictive output and by using the feedback correction to get the higher conver-gence. Finally, several examples were given to demonstrate the effectiveness of the proposed method.关键词
网络化控制系统/丢包/神经网络/故障观测器Key words
networked control system ( NCS)/packet dropout/neural network/fault observer分类
信息技术与安全科学引用本文复制引用
杨蒙蒙,钱伟..基于神经网络预测的网络化控制系统故障检测[J].信息与控制,2018,47(1):36-40,47,6.基金项目
国家自然科学基金资助项目(61573130) （61573130）
河南省科技创新人才计划资助项目(164100510004) （164100510004）
河南省创新型科技人才队伍建设工程(CXTD2016054) （CXTD2016054）
河南理工大学创新型科研团队支持计划(T2017-1) （T2017-1）
