Adaptive Control of Strict-Feedback Nonlinear Systems under Denial-of-Service: A Synthetic Analysis

Rui Gao,Jiangshuai Huang,Xiaojie Su,Ling Zhao

IEEE Transactions on Information Forensics and Security（2024）CCF ASCI 1区

Chongqing Univ Posts & Telecommun

Cited 4|Views12

Abstract

This paper investigates the adaptive control for a class of uncertain nonlinear systems under denial-of-service (DoS) attacks. We analyze the closed-loop system stability under DoS attacks in terms of attack duration, attack frequency and resting time duration respectively. Three scenarios of DoS attacks against the system stability are considered. Firstly, it is shown that if the duration of each attack is less than a given constant, asymptotical convergence of system output is still preserved. Secondly, if the bounds on the frequency and duration of attacks with respect to overall intervals meet certain conditions, the proposed event-triggered control scheme guarantees that all the closed-loop signals are globally bounded and the stabilization error converges to a ball with a radius arbitrarily small. Thirdly, if resting time duration meets certain conditions after an arbitrarily long attack, closed-loop boundedness is still preserved. Simulation results are shown to illustrate the effectiveness of the proposed control schemes.

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Key words

Denial-of-service attack,Stability analysis,Nonlinear systems,Control systems,Asymptotic stability,Backstepping,Adaptive control,Denial-of-service,adaptive control,nonlinear systems,event-triggered control

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