{"paper_id":"108e6966-57b7-4ddf-afb5-8d514b4d3a25","body_text":"Sensor Fault Detection in Networked Control Systems Under Disturbances and Communication Imperfections | 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 Research Article Sensor Fault Detection in Networked Control Systems Under Disturbances and Communication Imperfections Reda El Abbadi, Khalid Badie, Laila Dami, Samir Elouaham, Mohamed Louzazni This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7277315/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract This paper addresses the problem of sensor fault detection in Networked Control Systems (NCS) subject to communication imperfections, including time-varying delays and packet dropouts. These network-induced constraints can significantly degrade system performance and hinder timely fault identification. To model the stochastic behaviour of the communication network, Markov chains are used to represent the random nature of delays and packet losses. A fault detection strategy is proposed based on a Lyapunov function framework and Linear Matrix Inequality (LMI) techniques. The approach establishes sufficient conditions for fault detectability formulated as LMIs, ensuring robustness against the probabilistic uncertainties of the network. Simulation results confirm the effectiveness and reliability of the proposed method in detecting sensor faults under varying network conditions. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 10 Aug, 2025 Editor assigned by journal 04 Aug, 2025 Submission checks completed at journal 04 Aug, 2025 First submitted to journal 02 Aug, 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. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-7277315\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":498324676,\"identity\":\"16ad6d1b-5e6b-47cb-a068-74a5e09cd9bf\",\"order_by\":0,\"name\":\"Reda El 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