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    一种新的变采样周期策略在不确定负载NCS中的应用

    Application of a New Variable Sampling Strategy in Uncertain Load NCS

    • 摘要: 由于网络本身以及网络中应用节点的不确定性,使得网络控制系统工作在一个可变负载、开放、不稳定的环境中。为保证网络控制系统在可变负载的网络环境中稳定运行,提出了一种基于多输入多输出支持向量机(MIMOSVM)的变采样周期策略,根据网络负载的变化,动态地更新各控制回路的采样周期。仿真结果表明:该策略可以使可变负载的网络控制系统始终稳定运行,并且在提高网络控制系统控制性能的同时也提高了网络的可调度性。

       

      Abstract: Because of the uncertainties in the network itself and the application nodes, NCS usually works in a variable loads, open and unstable environment. To ensure the stability of the NCS in application, this paper presents a strategy of variable sampling periods based on multiple input and multiple output support vector machine (MIMOSVM). This proposed strategy dynamically update the sampling period of the control loop, according to the network load changing. Simulation results show that this present method may ensure the stability of NCSs with variable loads, and enhance the schedule ability of the network.

       

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