title: Event-triggered fault detection for a class of discrete-time linear systems using interval observers.
abstract: This paper provides a novel event-triggered fault detection (FD) scheme for discrete-time linear systems. First, an event-triggered interval observer is proposed to generate the upper and lower residuals by taking into account the influence of the disturbances and the event error. Second, the robustness of the residual interval against the disturbances and the fault sensitivity are improved by introducing l1and H∞performances. Third, dilated linear matrix inequalities are used to decouple the Lyapunov matrices from the system matrices. The nonnegative conditions for the estimation error variables are presented with the aid of the slack matrix variables. This technique allows considering a more general Lyapunov function. Furthermore, the FD decision scheme is proposed by monitoring whether the zero value belongs to the residual interval. It is shown that the information communication burden is reduced by designing the event-triggering mechanism, while the FD performance can still be guaranteed. Finally, simulation results demonstrate the effectiveness of the proposed method.
authors.affiliation: College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China. Electronic address: zhihuizhang1988@163.com.
authors.forename: Zhi-Hui
authors.initials: ZH
authors.lastname: Zhang
authors.affiliation: College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, PR China. Electronic address: yangguanghong@ise.neu.edu.cn.
authors.forename: Guang-Hong
authors.initials: GH
authors.lastname: Yang
keywords: Dilated linear matrix inequalities; Discrete-time linear systems; Event-triggered; Fault detection; Interval observer