神经元自适应无线网络控制系统与新型Smith预测器

W. Du, F. Du
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引用次数: 3

摘要

为了克服传统PID控制器自适应能力差的缺点,有效抑制网络时延的影响,提出了一种将新的Smith预测器与神经元自适应控制相结合的无线网络控制系统(WNCS)新方法。由于新的Smith预测器不包括网络延迟模型,因此不需要在线测量、识别或估计网络延迟。基于IEEE 802.11 b/g (WLAN)的仿真结果表明了该控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless Networked Control Systems with Neuron Adaptive Control and Novel Smith Predictor
In order to overcome poor adaptability of conventional PID controller and effectively restrain the impact of network delays, a novel approach is proposed that new Smith predictor combined with neuron adaptive control for the wireless networked control systems (WNCS). Because new Smith predictor doesn’t include network delay model, therefore network delay is no need to be measured, identified or estimated on line. Based on IEEE 802.11 b/g (WLAN), the results of simulation show validity of the control scheme.
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