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Zonotopic fault detection observer for linear parameter-varying descriptor systems

机译:用于线性参数变化描述符系统的Zonotopic故障检测观察者

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This paper studies zonotopic fault detection observer design for a class of linear parameter-varying descriptor systems. The disturbance and measurement noise are unknown but can be bounded by zonotopes. A zonotopic method is presented to estimate the envelope of residual. To attenuate the effect of disturbance and measurement noise, a zonotopic size optimization criterion is implemented based on P-radius. To improve the fault detection performance, a finite-frequency H_ index is introduced based on the generalized Kalman-Yakubovich-Popov lemma. Simulation examples of a mass-spring and a direct-current motor are utilized to demonstrate the performance of the proposed method.
机译:本文研究了一类线性参数变化描述符系统的Zonotopic故障检测观察者设计。 干扰和测量噪声未知,但可以由Zonotopes界定。 提出了一种Zonotopic方法来估计残留的包膜。 为了衰减干扰和测量噪声的效果,基于P-RADIUS实现了Zonotopic大小优化标准。 为了提高故障检测性能,基于广义的卡尔曼-yakubovich-Popov Lemma引入有限频率的H_指数。 使用质量弹簧和直流电动机的仿真实例来证明所提出的方法的性能。

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