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首页> 外文期刊>International Journal of Adaptive Control and Signal Processing >Robust fault tolerant control for a class of networked control systems with state delay and stochastic actuator failures
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Robust fault tolerant control for a class of networked control systems with state delay and stochastic actuator failures

机译：具有状态延迟和执行器随机故障的一类网络控制系统的鲁棒容错控制

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摘要

This paper is concerned with the robust fault tolerant controller design of networked control systems (NCSs) with state delay and stochastic actuator failures. By utilizing the input delay approach, an equivalent continuous-time generalized time delay system in both state and input is obtained. By applying a delay decomposition approach, the information of the delayed plant states can be taken into full consideration, and new delay-dependent sufficient conditions that ensure the asymptotic mean-square stability of NCSs with stochastic actuator failures are derived in terms of linear matrix inequalities (LMIs). It is realized by employing a new Lyapunov-Krasovskii function in the decomposed integral intervals and directly handle the inversely weighted convex combination of quadratic terms of integral quantities with reciproc'ally convex combination technique. Moreover, the proposed approach involves neither slack variable nor any model transformation. A numerical example is provided to demonstrate the effectiveness and less conservatism of the proposed method.
机译：本文涉及具有状态延迟和随机执行器故障的网络控制系统（NCS）的鲁棒容错控制器设计。通过使用输入延迟方法，可以获得状态和输入都相等的连续时间广义时延系统。通过应用时延分解方法，可以充分考虑时延工厂状态的信息，并根据线性矩阵不等式推导了新的时延相关充分条件，这些条件可确保具有随机执行器故障的NCS的渐近均方稳定性。 （LMI）。它是通过在分解的积分区间中使用新的Lyapunov-Krasovskii函数来实现的，并使用对等凸组合技术直接处理积分量二次项的逆加权凸组合。此外，所提出的方法既不涉及松弛变量也不涉及任何模型转换。数值例子说明了所提方法的有效性和保守性。

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