Event‐Triggered Sliding Mode Adaptive Anti‐Disturbance Switching Control for Switched Networked Systems Under DoS Attacks

ABSTRACT An event‐triggered sliding mode adaptive anti‐disturbance switching control scheme is presented for switched networked systems (SNSs) subjected to multi‐source disturbances and DoS attacks. Firstly, a switching adaptive regulator is proposed to estimate unknown parameters of the switching neural network disturbance model. This adaptive regulator provides faster convergence and is applicable to the non‐switched system case as well. Then, a switching adaptive estimator is constructed to approximate the switching neural network disturbance. Additionally, a resilient event‐triggered mechanism (RETM) is applied, which not only mitigates the adverse effects of DoS attacks on communication but also facilitates the enhancement of communication resource utilization. Under the average dwell time (ADT) switching signals, the controller is built to reduce the effects of disturbances modeled by the neural network and alleviate the impact of unmodeled disturbances. At last, a switched RLC example is employed to display the efficacy of the proposed event‐triggered sliding mode adaptive anti‐disturbance switching control scheme.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-10-28
DOI
https://doi.org/10.1002/rnc.70218
Primary Topic
Adaptive Dynamic Programming Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Event‐Triggered Sliding Mode Adaptive Anti‐Disturbance Switching Control for Switched Networked Systems Under DoS Attacks

Dan Ma, Shuanghe Yu, Ying Zhao, Chunyu Wu et al.
International Journal of Robust and Nonlinear Control
Adaptive Dynamic Programming Control
article

Event‐Triggered Sliding Mode Adaptive Anti‐Disturbance Switching Control for Switched Networked Systems Under DoS Attacks

Dan Ma, Shuanghe Yu, Ying Zhao, Chunyu Wu, Donghui Wu
article en

Abstract

ABSTRACT An event‐triggered sliding mode adaptive anti‐disturbance switching control scheme is presented for switched networked systems (SNSs) subjected to multi‐source disturbances and DoS attacks. Firstly, a switching adaptive regulator is proposed to estimate unknown parameters of the switching neural network disturbance model. This adaptive regulator provides faster convergence and is applicable to the non‐switched system case as well. Then, a switching adaptive estimator is constructed to approximate the switching neural network disturbance. Additionally, a resilient event‐triggered mechanism (RETM) is applied, which not only mitigates the adverse effects of DoS attacks on communication but also facilitates the enhancement of communication resource utilization. Under the average dwell time (ADT) switching signals, the controller is built to reduce the effects of disturbances modeled by the neural network and alleviate the impact of unmodeled disturbances. At last, a switched RLC example is employed to display the efficacy of the proposed event‐triggered sliding mode adaptive anti‐disturbance switching control scheme.

International Journal of Robust and Nonlinear ControlVol. 36(4)
Dalian University of Technology (CN), Dalian Maritime University (CN), Northeastern University (CN)
Openalex Percentile: Top 67%
Adaptive Dynamic Programming Control
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Event‐Triggered Sliding Mode Adaptive Anti‐Disturbance Switching Control for Switched Networked Systems Under DoS Attacks — Dan Ma, Shuanghe Yu, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS