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RESEARCH ARTICLE

Secure H∞ control for fractional-order fuzzy networked control systems subject to distributed delays and actuator faults

Narenshakthi Thiruvelavan1 ,  Dharani Shanmugavel1* ,  Sivakumar Muthusamy1
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1 Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India
IJOCTA, 026270141 https://doi.org/10.36922/IJOCTA026270141
Received: 1 July 2026 | Revised: 14 July 2026 | Accepted: 17 July 2026 | Published online: 19 August 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

The current study addresses the stability analysis in fractional-order fuzzy networked control systems with actuator faults and uncertainties. In contrast to existing studies on networked control systems, we carry out a comprehensive analysis using H∞ control for fractional-order networked control systems with distributed delays, aiming to improve system performance and robustness against denial-of-service attacks while accounting for actuator faults. A fuzzy controller is first designed for uncertain fractional-order fuzzy networked control systems with external disturbances. Subsequently, sufficient conditions based linear matrix inequalities (LMIs) are established using Lyapunov-Krasovskii functionals to ensure the asymptotic stability of the closed-loop system. The effectiveness of the proposed strategy is numerically validated using MATLAB® with different parameter settings. Finally, the comparative results show that the proposed method yields less conservative results than existing approaches.

Keywords
Fractional-order NCSs
Hybrid-triggered control
H∞ control
Uncertainty
Sensor fault
Funding
Open access funding provided by Vellore Institute of Technology.
Conflict of interest
The authors declare they have no competing interests.
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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing
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