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Sliding mode control for non-linear networked control systems subject to packet disordering via prediction method

机译:数据包无序的非线性网络控制系统的滑模控制预测方法

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This study investigates sliding mode control (SMC) for non-linear networked control systems (NCSs) subject to packet disordering as well as external disturbances. The main objectives of the proposed method are to predict packet disordering and to stabilise the NCSs in case of the unknown packet disordering in the future. Firstly, linearisation of non-linear systems and the technology of adopting the newest control input with a stochastic parameter are employed to model the system as a linear Markovian jumping system. Secondly, with the application of a time series prediction model, the phenomenon of disordering better under the novel measurement is portrayed. Then, robust H∞ SMC is designed by solving the linear matrix inequalities (LMIs). Finally, examples with sampled disordering packets are simulated to illustrate the effectiveness and advantages of the proposed method.
机译:这项研究调查了滑模控制(SMC)的非线性网络控制系统(NCS)遭受数据包混乱以及外部干扰。所提出的方法的主要目的是预测分组混乱并在将来未知分组混乱的情况下稳定NCS。首先,非线性系统的线性化和采用具有随机参数的最新控制输入的技术被用来将系统建模为线性马尔可夫跳跃系统。其次,利用时间序列预测模型,描述了在新的测量条件下更好的无序现象。然后,通过求解线性矩阵不等式(LMI)设计鲁棒H∞SMC。最后,对带有采样无序包的示例进行了仿真,以说明所提方法的有效性和优势。

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