Fault Detection and Fault-Tolerant Control for Discrete-Time Multiagent Systems With Sensor Faults: A Data-Driven Method

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-03-29 DOI:10.1109/JSEN.2024.3404006

Ji Zhang;Linlin Ma;Jingbo Zhao;Yanzheng Zhu

引用次数: 0

Abstract

This article investigates the fault detection and fault-tolerant control (FTC) problems for discrete-time multiagent systems (MASs) with sensor faults. First, the dynamic linearization method is introduced to describe the unknown MASs with sensor faults. Afterward, a decentralized fault detection method based on data-driven observers is proposed. And a fault estimator based on RBF neural networks for estimating multiple sensor faults is designed for estimating multiple sensor faults. Then, on the basis of the designed estimator, a distributed model-free sliding mode FTC strategy is provided to ensure the stability of the considered MASs when suffering from certain sensor faults. Finally, a simulated example is used to illustrate the efficiency of the proposed method.

查看原文本刊更多论文

具有传感器故障的离散时间多代理系统的故障检测和容错控制：数据驱动方法

本文研究了具有传感器故障的离散时间多代理系统（MAS）的故障检测和容错控制（FTC）问题。首先，介绍了动态线性化方法来描述带有传感器故障的未知 MAS。随后，提出了一种基于数据驱动观测器的分散式故障检测方法。并设计了一种基于 RBF 神经网络的故障估计器，用于估计多个传感器故障。然后，在所设计的估计器基础上，提供了一种分布式无模型滑模 FTC 策略，以确保所考虑的 MAS 在遭受特定传感器故障时的稳定性。最后，通过一个仿真实例说明了所提方法的效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice