拒绝服务攻击下网络物理系统的参考跟踪 MPC:全方位机器人应用

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Daotong Zhang;Peng Shi;Ramesh K. Agarwal;Levente Kovács
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引用次数: 0

摘要

本文介绍了一种新颖的模型预测控制(MPC)框架,该框架集成了干扰观测器,可用于拒绝服务(DoS)攻击下的网络物理系统(CPS)。我们的 MPC 方法独特地集成了内存模块,专门用于在 DoS 攻击期间保持 CPS 的稳定性和安全性,DoS 攻击通常会破坏通信并降低性能。我们的方法通过干扰观测器解决了时变系统不确定性问题,增强了在这些攻击条件下的鲁棒性。我们通过数值模拟、硬件在环实验以及使用全向机器人进行比较分析,验证了我们方法的有效性,突出了其实际适用性以及与现有方法相比的先进性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reference Tracking MPC for Cyber-Physical Systems Under Denial-of-Service Attacks: An Omnidirectional Robot Application
This article presents a novel model predictive control (MPC) framework with an integrated disturbance observer for cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. Uniquely incorporating a memory module, our MPC approach is tailored to maintain stability and security in CPS during DoS attacks, which typically disrupt communication and degrade performance. Our method stands out by addressing time-varying system uncertainties through the disturbance observer, enhancing robustness under these attack conditions. The effectiveness of our approach is validated through numerical simulations, hardware-in-the-loop experiments, and comparative analyses using an omnidirectional robot, highlighting its practical applicability and advancement over existing methods.
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来源期刊
IEEE Systems Journal
IEEE Systems Journal 工程技术-电信学
CiteScore
9.80
自引率
6.80%
发文量
572
审稿时长
4.9 months
期刊介绍: This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.
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