Fault detection for saturated nonlinear system subject to redundant channel and additive time-varying delays

IF 3.9 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-12 DOI:10.1002/acs.3889

Zhihui Wu, Xue Zhao, Siteng Ma, Dongyan Chen

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引用次数: 0

Abstract

Under the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems with two additive time-varying delay components. In the addressed measurement model, the sensor is assumed to have two communication channels, which can contribute to improving the probability of successfully delivering the measurements. A FD filter is designed to generate residual signals, and the sufficient criteria are established to ensure the stochastic finite-time stability (SFTS) of the residual system with $H_{\infty}$ performance constraint by constructing new Lyapunov-Krasovskii functionals. Based on the established criteria, the explicit expression of the desired FD filter is obtained via solving a set of linear matrix inequalities (LMIs). Finally, the usefulness of the proposed FD scheme is verified by a simulation example.

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受冗余信道和加性时变延迟影响的饱和非线性系统的故障检测

在传感器饱和和数据包丢失的影响下，本文关注的是一类具有两个加性时变延迟分量的非线性系统的故障检测（FD）问题。在处理的测量模型中，假设传感器有两个通信信道，这有助于提高成功交付测量结果的概率。设计了一个 FD 滤波器来生成残差信号，并通过构建新的 Lyapunov-Krasovskii 函数建立了充分的标准，以确保具有性能约束的残差系统的随机有限时间稳定性（SFTS）。根据建立的标准，通过求解一组线性矩阵不等式（LMI），得到了所需 FD 滤波器的明确表达式。最后，通过一个仿真实例验证了所提出的 FD 方案的实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Adaptive Control and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.30

自引率

16.10%

发文量

163

审稿时长

5 months

期刊介绍： The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.