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Robust reliable dissipative filtering for networked control systems with sensor failure

机译:具有传感器故障的网络控制系统的可靠可靠的耗散滤波

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摘要

This study is concerned with the problem of robust reliable dissipative fllter design for networked control systems (NCSs) with sensor failures and random packet dropouts. The considered NCS model is subject to the sources of uncertainty in the system parameters. The sensor signals are modelled by sequences of a Bernoulli distributed white sequence and the packet dropouts may occur randomly during transmission. The main objective is to design a suitable reliable dissipative fllter such that, for all network-induced imperfections, a resulting error system is robustly stochastically stable and strictly (Q, S, R) dissipative. The results are obtained for known as well as unknown sensor failure rates, so the results are more general one because it can guarantee the dissipativity of system whether or not the sensor encounter failures. The sufflcient conditions for existence of fllters are derived in terms of linear matrix inequality (LMI) approach and the corresponding fllter parameters can be obtained by solution to a set of LMIs, which can be easily solved by using some standard numerical packages. Finally, two numerical examples are given to illustrate the applicability and effectiveness of the proposed fllter design.
机译:这项研究涉及具有传感器故障和随机数据包丢失的网络控制系统(NCS)的可靠可靠的耗散滤波器设计问题。所考虑的NCS模型受系统参数不确定性的影响。传感器信号由伯努利分布的白色序列的序列建模,并且数据包丢失可能在传输期间随机发生。主要目的是设计一种合适的可靠的耗散滤波器,以便对于所有网络导致的缺陷,产生的误差系统具有随机稳定的稳定性,并且严格地(Q,S,R)具有耗散性。该结果是针对已知和未知的传感器故障率获得的,因此该结果更为笼统,因为它可以确保系统是否耗散,无论传感器是否遇到故障。滤波器存在的充分条件是根据线性矩阵不等式(LMI)方法得出的,并且可以通过求解一组LMI来获得相应的滤波器参数,可以通过使用一些标准数值程序包轻松解决这些参数。最后,给出了两个数值例子来说明所提出的滤波器设计的适用性和有效性。

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