{"title":"Fault detection for nonlinear multirate systems with time-varying delays under a hybrid dynamical event-triggered scheme","authors":"Zhihui Wu , Tiantian Hu , Lichao Feng","doi":"10.1016/j.cnsns.2025.109328","DOIUrl":null,"url":null,"abstract":"<div><div>This paper considers the fault detection (FD) problem for a class of nonlinear multirate systems (NMRSs) with time-varying delays. Here, in order to preserve more effective information and simplify calculations, a new compensation method is utilized to unify the rates of multirate systems (MRSs). On the other hand, a novel hybrid dynamical event-triggered scheme (HDETS) is proposed to regulate the frequency of signal release by adding an adaptive switching multiplicative variable (ASMV) on the basis of dynamic event-triggering mechanism (ETM). Specifically, the ASMV of the triggering function will switch based on the feedback information of FD. In addition, by adjusting the parameters of the triggering function, the triggering condition can be flexibly adjusted to control the triggering rate. The aim of this paper is to design an HDETS-based fault detection filter (FDF), which guarantees that the augmented system is asymptotically stable (AS) with prescribed <span><math><msub><mi>H</mi><mi>∞</mi></msub></math></span> performance. Next, the gains of FDF are derived through linear matrix inequality (LMI). Finally, two examples of the ballistic roll rate system and Chua’s circuit system are performed to verify the effectiveness of the FDF designed under HDETS.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"152 ","pages":"Article 109328"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425007373","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper considers the fault detection (FD) problem for a class of nonlinear multirate systems (NMRSs) with time-varying delays. Here, in order to preserve more effective information and simplify calculations, a new compensation method is utilized to unify the rates of multirate systems (MRSs). On the other hand, a novel hybrid dynamical event-triggered scheme (HDETS) is proposed to regulate the frequency of signal release by adding an adaptive switching multiplicative variable (ASMV) on the basis of dynamic event-triggering mechanism (ETM). Specifically, the ASMV of the triggering function will switch based on the feedback information of FD. In addition, by adjusting the parameters of the triggering function, the triggering condition can be flexibly adjusted to control the triggering rate. The aim of this paper is to design an HDETS-based fault detection filter (FDF), which guarantees that the augmented system is asymptotically stable (AS) with prescribed performance. Next, the gains of FDF are derived through linear matrix inequality (LMI). Finally, two examples of the ballistic roll rate system and Chua’s circuit system are performed to verify the effectiveness of the FDF designed under HDETS.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.