基于核方法的移动机器人远程控制时延预测与分析  

Time delay prediction and analysis based on kernel method for mobile robot remote control

作　　者：李雪[1] 贺昱曜[1] 闫茂德[1] 

机构地区：[1]长安大学电子与控制工程学院,西安710064

出　　处：《计算机应用研究》2008年第7期2129-2131,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60472022);陕西省自然科学基金资助项目(2006F03);陕西省自然科学基础研究计划项目(2007E229)

摘　　要：构建了基于Internet的移动机器人控制平台,针对该平台中网络时延的非线性特性,提出了利用线性核和RBF核方法对网络时延序列样本进行回归建模和预测。比较了核方法、BP神经网络和RBF神经网络算法预测误差,表明在移动机器人远程控制中,核方法对网络时延序列预测具有更好的函数逼近能力和较高的预测精度,从而可根据预测时延调节移动机器人控制指令和状态信息的网络传输,保证系统的可靠性,提高移动机器人的控制性能。This paper built a mobile robot control platform based on Internet ; with the consideration of the time-delay non-li- near characteristics of the platform proper, advanced the proposal of regression modeling and prediction to the time-delay series samples by means of linear kernel and RBF kernel methods. An error comparison was conducted between two kinds of predic- tions： the kernel method prediction and the BP neural network and RBF neural network method prediction. The result shows that, in the process of mobile robot control, compared with the neural network method, the adoption of the kernel method in the prediction of the network time-delay has better function approximation and higher prediction accuracy, so that, according to the predicted time-delay, it is possible to adjust the control instructions of the mobile robot and the network transmission of the status information to guarantee the system reliability and improvement of control performance of the mobile robot.

关 键 词：移动机器人 远程控制 核方法 网络时延 预测 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]