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Zonotopic Fault Detection for 2-D Systems Under Event-Triggered Mechanism
IEEE Transactions on Cybernetics ( IF 9.4 ) Pub Date : 2020-08-04 , DOI: 10.1109/tcyb.2020.3009118
Xudong Wang 1 , Zhongyang Fei 1 , Peng Shi 2 , Jinyong Yu 1
Affiliation  

This article studies the problem of event-triggered fault detection (FD) for 2-D systems subjected to amplitude-bounded exogenous disturbance and measurement noise via a zonotopic residual evaluation mechanism. An event-triggered mechanism is introduced into the FD framework to save limited communication resources. A finite-frequency (FF) mixed ℓ∞/h∞\ell _{\infty }/h_{\infty } index is derived to ensure the residual signal is sensitive to a fault signal while robust to disturbance and noise, based on which an optimal mixed ℓ∞/h∞\ell _{\infty }/h_{\infty } FD filter design criterion is provided. Instead of constant thresholds, novel zonotope-based dynamic thresholds are utilized for residual evaluation. Finally, simulation results are presented to illustrate the effectiveness of the developed mechanism.

中文翻译:


事件触发机制下二维系统的区域故障检测



本文通过区域残差评估机制研究了受到幅度有界外生干扰和测量噪声影响的二维系统的事件触发故障检测 (FD) 问题。 FD框架中引入了事件触发机制,以节省有限的通信资源。推导了有限频率(FF)混合 ℓ∞/h∞\ell _{\infty }/h_{\infty } 指数,以确保残差信号对故障信号敏感,同时对干扰和噪声具有鲁棒性。给出了最优混合 ℓ∞/h∞\ell _{\infty }/h_{\infty } FD 滤波器设计准则。代替恒定阈值,新颖的基于区域位态的动态阈值被用于残差评估。最后,给出了仿真结果来说明所开发机制的有效性。
更新日期:2020-08-04
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