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Design of robust fuzzy fault detection filter for polynomial fuzzy systems with new finite frequency specifications

机译:具有新型有限频率规格的多项式模糊系统鲁棒模糊故障检测滤波器设计

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This paper investigates the problem of fault detection filter design for discrete-time polynomial fuzzy systems with faults and unknown disturbances. The frequency ranges of the faults and the disturbances are assumed to be known beforehand and to reside in low, middle or high frequency ranges. Thus, the proposed filter is designed in the finite frequency range to overcome the conservatism generated by those designed in the full frequency domain. Being of polynomial fuzzy structure, the proposed filter combines the H_/H-infinity performances in order to ensure the best robustness to the disturbance and the best sensitivity to the fault. Design conditions are derived in Sum Of Squares formulations that can be easily solved via available software tools. Two illustrative examples are introduced to demonstrate the effectiveness of the proposed method and a comparative study with LMI method is also provided. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文研究了具有故障和未知干扰的离散时间多项式模糊系统故障检测滤波器设计问题。 故障和干扰的频率范围预先已知并驻留在低,中间或高频范围内。 因此,所提出的滤波器设计在有限频率范围内,以克服由在全频域中设计的那些产生的保守主义。 对于多项式模糊结构,所提出的过滤器结合了H_ / H-Infinity性能,以确保对干扰的最佳稳健性和对故障的最佳敏感性。 设计条件可通过可用的软件工具轻松解决的正方形配方的总和。 引入了两种说明性实施例以证明所提出的方法的有效性以及LMI方法的比较研究。 (c)2018年elestvier有限公司保留所有权利。

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