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Design of robust nonfragile fault detection filter for uncertain dynamic systems with quantization

机译:用量化不确定动态系统的鲁棒非直接故障检测滤波器设计

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This paper investigates the fault detection problem for uncertain linear systems with respect to signal quantization. The measurement output transmitted via the digital communication link is considered to be quantized by a dynamic quantizer. Moreover, different from most of existing results on fault detection where the residual generator is assumed to be realized perfectly as the designed one, this study takes the inaccuracy and uncertainty on the implementation of residual generator into account. This paper pays much attention to designing a fault detection filter with quantization as the residual generator and formulates the design problem into the H infinity framework. The objective is to guarantee the asymptotical stability and prescribed performance of the residual system. The S-procedure and a two-step approach are adopted to handle the effects of quantization and uncertainties on residual system. Corresponding design conditions of a robust fault detection filter and a robust nonfragile ones are derived in the form of linear matrix inequalities. Finally, the efficiency of the theoretical results is illustrated by the numerical example. (C) 2018 Elsevier Inc. All rights reserved.
机译:本文研究了相对于信号量化的不确定线性系统故障检测问题。经由数字通信链路发送的测量输出被认为是通过动态量化器量化的。此外,不同于现有的现有结果对故障检测的大多数结果,其中假设残留发生器完全实现为设计的,这项研究考虑了剩余发电机的实现不准确和不确定性。本文重视设计具有量化的故障检测滤波器作为剩余发电机,并将设计问题交给H Infinity框架。目的是保证剩余系统的渐近稳定性和规定的性能。采用S-Programe和两步方法来处理量化和不确定性对残留系统的影响。鲁棒故障检测滤波器的相应设计条件和强大的非自由义的设计条件以线性矩阵不等式的形式导出。最后,通过数值示例说明了理论结果的效率。 (c)2018年Elsevier Inc.保留所有权利。

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