Neuroadaptive prescribed-time secure control for nonlinear interconnected NCSs via multiple triggering against DoS attacks

Lusong Ding and Weiwei Sun

Applied Mathematics and Computation, 2024, vol. 470, issue C

Abstract: For a class of nonlinear networked control systems (NCSs) with denial-of-service (DoS) attacks, this article explores the problem of secure prescribed-time tracking control ground on multiple event-triggered mechanisms. First, a nonlinear observer is constructed using triggered output information to compensate for faults and mismatched disturbances. An integrated event-observer-based secure control scheme is then proposed to implement multiple triggering to resist DoS attacks on both measurement and control channels by designing multiple event-triggering mechanisms. Meanwhile, it bypasses the non-differentiability of the virtual controllers arising from the discontinuity in output-triggering. Moreover, we perform nonlinear scaling of tracking error to realize the desired transient performance of tracking with a prescribed accuracy within a finite time interval. Finally, simulation results are given to verify the effectiveness of the theoretical results.

Keywords: Adaptive control; Denial-of-service (DoS) attacks; Multiple event-triggered; Networked control systems (NCSs); Prescribed-time control (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:470:y:2024:i:c:s0096300324000341

DOI: 10.1016/j.amc.2024.128562

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