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基于神经网络延迟预测的Internet机器人远程控制 被引量:5

Neural Networks Predictive Control for Internet Robots With Variational Time-delay
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摘要 针对Internet机器人控制中延迟变化所引起的不稳定问题,采用基于RBF神经网络的延迟时间预测方法,并将其与Smith预估器结合应用于Internet机器人控制中,解决了变延迟情况下的系统稳定,仿真结果表明该方案具有较好的有效性和鲁棒性。 Aiming at the instability of Internet robots with variational time-delay, a time-delay predictive method based on RBF neural networks is adopted.Combined with Smith-Prediction,it is applied in variational time-delay Internet robots control. Simulation results show the satisfactory robustness and effectivity.
出处 《计算机测量与控制》 CSCD 2004年第3期238-241,共4页 Computer Measurement &Control
基金 江苏省应用基础课题资助项目(BJ98057)
关键词 INTERNET 机器人 远程控制 神经网络 延迟 预测 Internet robots RBF neural networks variational time-delay prediction
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