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A Less Conservative H Fault-Tolerant Control for NCS Based on T-S Fuzzy Model

机译:基于T-S模糊模型的NCS保守性较低的H容错控制

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For a class of nonlinear networked control system (NCS) with network-induced delay and packed dropout, which is influenced by external disturbance with limited energy in transmission, a T-S fuzzy model is employed to represent the nonlinear controlled plant. By using appreciate Lyapunov-Krasovskii function, a H integrality sufficient condition against actuator failures is derived based on delay-dependent approach, and the H fault-tolerant controller gain can be obtained via solving several linear matrix inequalities(LMIs). Because of the lower bound of the time-delay and free weighting matrixes are introduced, and the model transformation has not been used. Then a less conservative result is obtained. Finally, an example is used to illustrate the effectiveness and feasibility of proposed approach.
机译:对于一类具有网络引起的延迟和拥挤丢失的非线性网络控制系统(NCS),其受传输过程中的外部干扰和有限的能量影响,采用T-S模糊模型来表示非线性受控工厂。通过使用欣赏Lyapunov-Krasovskii函数,基于时滞相关方法推导了针对执行器故障的H 积分充分条件,并且H 容错控制器增益可以通过求解几个线性矩阵不等式(LMI)获得。由于时间延迟的下限,引入了自由加权矩阵,并且尚未使用模型变换。然后,获得的保守性较低。最后,通过一个例子说明了该方法的有效性和可行性。

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