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Robust two-mode-dependent controller design for networked control systems with random delays modelled by Markov chains

机译:由马尔可夫链建模的具有随机延迟的网络控制系统的鲁棒依赖于双模的控制器设计

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摘要

This paper focuses on the control problem of networked systems with Markovian delays existing on not only the feedback channel but also the forward channel. The resulting controller is thus two-mode dependent by making full use of the available delay information on both channels. Unlike the existing results by using the augmentation method for incorporating the two-channel Markovian delays into the closed-loop model, a prediction scheme is proposed to design a sequence of all possible two-mode dependent controller gains by efficiently solving the derived linear matrix inequalities and send them to the actuator. Depending on the actual delay on the forward channel, the appropriate controller gain will be implemented to drive the plant. Furthermore, the unavoidable uncertainties of the elements in the probability transition matrices are considered in the controller design. Simulation studies and comparisons demonstrate the effectiveness of efficiency of the proposed method.
机译:本文着重研究具有马尔可夫时滞的网络系统的控制问题,该问题不仅存在于反馈信道上,而且存在于前向信道上。因此,通过充分利用两个通道上的可用延迟信息,所得的控制器依赖于两种模式。与使用将两通道马尔可夫延迟合并到闭环模型中的增强方法得到的现有结果不同,提出了一种预测方案,通过有效地求解导出的线性矩阵不等式来设计所有可能的依赖于二模的控制器增益的序列并将它们发送到执行器。根据前向通道上的实际延迟,将实施适当的控制器增益来驱动设备。此外,在控制器设计中考虑了概率转移矩阵中元素不可避免的不确定性。仿真研究和比较证明了所提方法的有效性。

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