Cybersecurity integrated Distributed Secure Event-triggered Consensus of Multi-UAV systems

Distributed secure event-triggered consensus control of multi-UAV systems is considered under the cover of cybersecurity. First. to protect the triggering transmission under DoS attack, a distributed secure event-triggered mechanism is presented where both a triggered instant and a predictive triggering interval are generated simultaneously. The triggered packet is covered by cybersecurity during the predictive triggering interval. Second, a consensus error dynamic model is established. A new Lyapunov function is constructed on the basis of Taylor term. A sufficient criterion on H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> performance of multi-UAV systems is derived and LMIs method to solve distributed event-triggered gains is presented. Finally, a simulation example is carried out to proof the validness of our study.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/yac66630.2025.11150203
Primary Topic
Diverse Scientific and Economic Studies
Type
article
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article

Cybersecurity integrated Distributed Secure Event-triggered Consensus of Multi-UAV systems

Diverse Scientific and Economic Studies
article

Cybersecurity integrated Distributed Secure Event-triggered Consensus of Multi-UAV systems

article en

Abstract

Distributed secure event-triggered consensus control of multi-UAV systems is considered under the cover of cybersecurity. First. to protect the triggering transmission under DoS attack, a distributed secure event-triggered mechanism is presented where both a triggered instant and a predictive triggering interval are generated simultaneously. The triggered packet is covered by cybersecurity during the predictive triggering interval. Second, a consensus error dynamic model is established. A new Lyapunov function is constructed on the basis of Taylor term. A sufficient criterion on H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> performance of multi-UAV systems is derived and LMIs method to solve distributed event-triggered gains is presented. Finally, a simulation example is carried out to proof the validness of our study.

First Affiliated Hospital of Henan University (CN)
Openalex Percentile: Top 33%
Diverse Scientific and Economic Studies
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