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Model-Free Adaptive Predictive Control for Networked Control Systems with Dual-Channel Packet Loss

机译:具有双通道包丢失的网络控制系统无模型自适应预测控制

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In order to reduce the impact of network communication on networked control system (NCS), a networked model-free adaptive predictive control scheme is proposed for networked control systems with random packet loss in the forward and feedback channels. The data model based on the I/O data dynamic linearization is used as the predictive model. It is a data driven predictive control method and it is independent of the mathematical model for the controlled object. To suppress the system oscillation caused by packet loss and the frequent change of the expected signal, an improved MFAPC method was proposed. Finally, the effectiveness of the improved MFAPC method for packet loss was verified by simulation.
机译:为了降低网络控制系统上的网络通信(NCS)的影响,为向前和反馈信道中的随机分组丢失的网络控制系统提出了一种网络的无模型自适应预测控制方案。基于I / O数据动态线性化的数据模型用作预测模型。它是数据驱动的预测控制方法,它与受控对象的数学模型无关。为了抑制由数据包丢失引起的系统振荡和预期信号的频繁变化,提出了一种改进的MFAPC方法。最后,通过仿真验证了改进的MFAPC方法对分组丢失的有效性。

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