Longjie Song , Yuanjian Liu , Wenfei Liu , Zhengxin Wang
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引用次数: 0
Abstract
This paper investigates the event-triggered consensus control of deterministic nonlinear multi-agent systems (MASs) within the context of Denial-of-Service (DoS) attacks. In such adversarial scenarios, malicious attackers possess the potential to pilfer sensitive data by effectively distracting the security apparatus via DoS attacks. Although the consensus problem of MASs under DoS attacks has been the subject of extensive academic scrutiny, previous research endeavors predominantly presume that the overarching aim of DoS attacker is to precipitate a system-wide collapse. Nevertheless, little research has been dedicated to the scenario where attackers might be motivated by the objective of data extraction. To overcome this obstacle, this paper proposes a distributed event-triggered control mechanism predicated on the’input-disturbance’ methodology for well-defined nonlinear MASs, further employing a switching-mode strategy to enhance the flexibility of the mechanism. Moreover, in cognizance of the latency inherent in the system’s response dynamics, the proposed mechanism accommodates a bounded time-delay during mode-transition upon the detection of the initiation or cessation of a DoS attack. Through the application of Lyapunov methodologies and matrix theoretic constructs, a suite of sufficient conditions is deduced to ensure the consensus of MASs suffered from DoS attacks. Ultimately, a comprehensive simulation example and comparative analysis are presented to verify the validity and efficiency of the proposed mechanism.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.