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Event-Triggered Fault Detection for Nonlinear Systems via Multidegree-Delay-Dependent Lyapunov Function

delete2025-12-01
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PRE
AI
X
Xiao‐Lei Wang
王玉龙 (Yu‐Long Wang)
D
Dakui Wu
DOI:10.1109/JIOT.2025.3639101delete
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Abstract

Abstract

En 中文
This article studies the problem of event-triggered (ET) fault detection (FD) for nonlinear systems via multidegree-delay-dependent Lyapunov function (LF). The nonlinearity in the system conforms to an incremental quadratic constraint, representing a broader class of nonlinearities. First, a nonlinear FD observer is designed to work in tandem with the ET mechanism for generating residual signals. Subsequently, by employing an LF that includes multidegree-delay-dependent Lyapunov matrix, it is proved that the established nonlinear FD observer can guarantee the desired performance of the nonlinear FD systems. Finally, simulation results are presented to illustrate that the proposed ET FD approach outperforms existing methods in terms of FD effectiveness.
Keywords:
Event triggered (ET)
fault detection (FD)
multidegree delay
nonlinear systems

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

S
shanghai university
Scholars:
3.9W
Papers: 2.7W
Citations: 52