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基于CMAC神经网络的网络控制系统模糊PD控制 被引量:1

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摘要 针对网络控制系统中存在的随机诱导时延,把传输网络以及被控对象看作是一个时变的被控系统,将小脑模型神经网络与PD控制相结合,通过CMAC神经网络与PD的复合控制实现前馈反馈控制,PD控制器的参数由模糊推理机自适应整定,以减小网络诱导时延及其不确定性对系统的负面影响,优化系统控制效果。最后对该控制方法进行了仿真研究,结果表明该方法能有效改善系统的控制性能。
作者 陈瑾 刘乐
出处 《物联网技术》 2015年第2期46-49,共4页 Internet of things technologies
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参考文献15

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二级参考文献32

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