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Robust Fast Adaptive Fault Estimation for T-S Fuzzy Markovian Jumping Systems with Mode-Dependent Time-Varying State Delays

机译:具有模式相关的时变状态延迟的T-S模糊市场跳跃系统的强大快速自适应故障估算

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This paper studies the problem of actuator fault estimation for a class of T-S fuzzy Markovian jumping systems, which is subject to mode-dependent interval time-varying delays and norm-bounded external disturbance. Based on the given fast adaptive estimation algorithm and by employing a novel Lyapunov–Krasovskii function candidate, a robust fault estimation scheme is proposed to estimate faults whose derivative is bounded. With this improved method, the proposed fault estimator minimizes the effect of disturbance on the estimation error and reduces the conservatism of systems stability results simultaneously. To be specific, an improved mode-dependent criterion for the existence of the fault estimation observer is established to guarantee the error dynamic system to be stochastically stable with a prescribed performance and reduce the conservatism of designing procedure. Finally, three numerical examples are given to show the effectiveness of the proposed method.
机译:本文研究了一类T-S模糊马尔可夫跳跃系统的执行器故障估计问题,该跳跃系统受模式依赖间隔时变延迟和规范的外部干扰。 基于给定的快速自适应估计算法和通过采用新颖的Lyapunov-Krasovskii功能候选,提出了一种强大的故障估计方案来估计衍生物被界定的故障。 利用这种改进的方法,所提出的故障估计器最小化干扰对估计误差的影响,并同时降低了系统稳定性结果的保守主义。 具体而言,建立改进的用于存在故障估计观察者的依赖模式标准,以确保误差动态系统随着规定的性能而随机稳定,并降低设计过程的保守主义。 最后,给出了三个数值例子来显示所提出的方法的有效性。

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