Security Fuzzy Control for Nonlinear Networked Systems with Multichannel DoS Attacks and Actuator Saturation

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Security Fuzzy Control for Nonlinear Networked Systems with Multichannel DoS Attacks and Actuator Saturation | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Security Fuzzy Control for Nonlinear Networked Systems with Multichannel DoS Attacks and Actuator Saturation Hong-Gang Guan, Shuo Ding, Xiao-Heng Chang, Xi-Ming Liu, Li-Wei Hou, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5720271/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted 7 You are reading this latest preprint version Abstract In this study, an interval-type-2 (IT-2) fuzzy controller for nonlinear networked control systems (NNCSs) under multichanneldenial-of-service (DoS) attacks is designed. First, an NNCS is modeled as an IT-2 fuzzy control system, and uncertainty isintroduced into the NNCS. Second, DoS attacks are performed simultaneously in the sampler-to-controller (S-t-C) channel andthe controller-to-actuator (C-t-A) channel. The DoS attacks are modeled via the Bernoulli distribution. Owing to the limitedperformance of the actuator and because DoS attacks introduce large amounts of useless data, the actuator needs to processlarge amounts of data; thus, this study considers the actuator saturation problem. Finally, to alleviate the pressure of channeltransmission data and improve the utilization of network resources, an improved adaptive event-triggered mechanism (AETM)is proposed. Considering the above situation, a closed-loop system is established, and an IT-2 fuzzy controller is designed forthe system. The simulation results for the IT-2 fuzzy control system prove the validity of the controller design proposed in this paper. Physical sciences/Mathematics and computing/Applied mathematics Physical sciences/Mathematics and computing/Computational science Nonlinear networked control systems Adaptive event-triggered mechanism (AETM) Multichannel DoS attacks Actuator saturation Full Text Additional Declarations No competing interests reported. Supplementary Files Rsupplementaryfile.zip Cite Share Download PDF Status: Published Journal Publication published 30 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Accepted 15 Apr, 2025 Reviews received at journal 14 Apr, 2025 Reviewers agreed at journal 14 Apr, 2025 Reviewers agreed at journal 14 Apr, 2025 Reviewers invited by journal 14 Apr, 2025 Submission checks completed at journal 11 Apr, 2025 First submitted to journal 02 Apr, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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