Fault detection for nonlinear multirate systems with time-varying delays under a hybrid dynamical event-triggered scheme

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Zhihui Wu , Tiantian Hu , Lichao Feng
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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 H 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.
基于混合动态事件触发方案的时变时滞非线性多速率系统故障检测
研究一类具有时变时滞的非线性多速率系统的故障检测问题。为了保留更有效的信息和简化计算,本文采用一种新的补偿方法来统一多速率系统的速率。另一方面,在动态事件触发机制(ETM)的基础上,提出了一种新的混合动态事件触发机制(HDETS),通过增加自适应开关乘法变量(ASMV)来调节信号释放的频率。具体来说,触发功能的ASMV会根据FD的反馈信息进行切换。另外,通过调节触发功能的参数,可以灵活调节触发条件,控制触发速率。本文的目的是设计一种基于hts的故障检测滤波器(FDF),以保证增广系统在给定的H∞性能下是渐近稳定的。其次,通过线性矩阵不等式(LMI)推导出FDF的增益。最后,以弹道滚转速率系统和Chua电路系统为例,验证了在HDETS下设计的FDF的有效性。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
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.
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