欺骗攻击下网络化自主飞行器控制系统的自适应事件触发$H\infty$控制

IF 9.9 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Industrial Informatics Pub Date : 2025-01-28 DOI:10.1109/TII.2025.3528560

Ya-Li Zhi;Xu Liu;Shuping He;Wenjuan Lin;Wenbin Chen

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引用次数: 0

摘要

本文研究了网络控制系统（ncs）在欺骗攻击下的一种新的$H\infty$控制方法，并将其应用于自主飞行器（aav）。首先，提出了一种新的自适应事件触发策略（AETS）来减少传输数据包。与现有ETS相比，本文提出的AETS能够根据加权平均误差自适应调整事件触发阈值，节省有限的网络资源。其次，考虑AETS、欺骗攻击和网络延迟，构建网络化闭环系统模型。然后，通过导出的稳定性判据，可以在节省有限通信资源的同时，保证预期的$H\infty$控制性能。最后，通过AAV系统验证了该方法的有效性和优越性。

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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Adaptively Event-Triggered $H\infty$ Control for Networked Autonomous Aerial Vehicles Control Systems Under Deception Attacks

This article investigates a new

$H\infty$

control method for networked control systems (NCSs) under deception attacks, and applies it to autonomous aerial vehicles (AAVs). First, a novel adaptively event-triggered strategy (AETS) is proposed for reducing the transmitted data packets. Compared with existing ETS, the proposed AETS can adaptively adjust the event-triggered threshold and save limited networked resources in light of weighted average error. Second, a networked closed-loop system model is constructed by considering AETS, deception attacks, and network-induced delays. Then, the expected

$H\infty$

control performance can be ensured in parallel with saving limited communication resources through the derived stability criterion. Finally, the validity and advantage of the presented approach are proved by a AAV system.

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来源期刊

IEEE Transactions on Industrial Informatics 工程技术-工程：工业

CiteScore

24.10

自引率

8.90%

发文量

1202

审稿时长

5.1 months

期刊介绍： The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.