Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks
By Xianming Zhang, Qing-Long Han, Xiaohua Ge, Lei Ding. IEEE Transactions on Cybernetics, 2019
306 citations recorded by the source corpus.
This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the $N$ -order canonical Bessel–Legendre inequalities, some $N$ -dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/160971bb0e747f3de1f776eec73e3ddb91fafb32
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In Control and Systems Engineering
Citations in the corpus
- Dynamic Event-Triggered Distributed Coordination Control and its Applications: A Survey of Trends and Techniques (2020, background): “…a sophisticated adversary can leverage this fact to launch malicious attacks during transmission of these “significant” data by modifying the contents of the data with falsified information (e.g., deception attacks [75]) or preventing the data from reaching its destinations (e.g., DoS attacks [76]).”
- Security-Based Fuzzy Control for Nonlinear Networked Control Systems With DoS Attacks via a Resilient Event-Triggered Scheme (2022, methodology): “For confronting the influences of DoS attacks, resilient state feedback controllers were designed for NCSs in [34].”
- Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, background): “As such, the performance indicator such as average dwell time in conventional switched systems can be employed to examine the effects of such DoS attacks on the resulting estimation error system [99].”