Securing consensus in fractional-order multi-agent systems: Algebraic approaches against Byzantine attacks DOI Creative Commons
Yubin Zhong, Asad Khan,

Muhammad Awais Javeed

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e40335 - e40335

Published: Nov. 1, 2024

This paper investigates the behavior of fractional-order nonlinear multi-agent systems subjected to Byzantine assaults, specifically focusing on manipulations both sensors and actuators. We employ weighted graphs, directed undirected, illustrate system's topology. Our methodology combines algebraic graph theory with Lyapunov techniques develop requirements for leader-following consensus, providing a robust framework analyzing consensus dynamics in these complex systems. present quantitative results demonstrating effectiveness our approach, including two numerical examples that validate proposed evaluation. Notably, work highlights novelty using enhance resilience against adversarial conditions, contributing significantly field By clarifying key terms streamlining language, we ensure accessibility broader audience while emphasizing implications findings real-world applications.

Language: Английский

Dynamic Nonlinear Control Strategies For Resilient Heterogeneous Vehicle Platooning and Handling Byzantine Attacks in Communication Networks DOI Creative Commons
Ammar Alsinai,

José Roberto Castilho Piqueira,

Waqar Ul Hassan

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e41574 - e41574

Published: Jan. 1, 2025

This paper addresses the challenges of maintaining stability in heterogeneous vehicle platooning under influence communication disruptions caused by Byzantine attacks within a leader-follower framework. To enhance resilience, we propose nonlinear control strategy tailored for third-order dynamic model, integrating interconnections with adaptable gains. Utilizing constant time headway spacing policy gap adjustments, derive gains that secure internal platoon stability. A Lyapunov-based approach is employed to mitigate destabilizing effects attacks, ensuring robust performance even adverse conditions. Numerical simulations validate controller's effectiveness, showing rapid convergence stable behavior 10 seconds and tracking error below percent, despite simulated attacks. These results demonstrate practical feasibility proposed controller resilience real-world scenarios where integrity compromised.

Language: Английский

Citations

0
CFL-ICCV: Clustered federated learning framework with an intra-cluster cross-validation mechanism for DER forecasting DOI
Linbin Liu, June Li, Juan Wang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124699 - 124699

Published: Oct. 30, 2024

Language: Английский

Citations

1
DUPS: Data poisoning attacks with uncertain sample selection for federated learning DOI
Heng‐Ru Zhang, Kexiong Wang, Xiang-Yu Liang

et al.

Computer Networks, Journal Year: 2024, Volume and Issue: unknown, P. 110909 - 110909

Published: Nov. 1, 2024

Language: Английский

Citations

1
Securing consensus in fractional-order multi-agent systems: Algebraic approaches against Byzantine attacks DOI Creative Commons
Yubin Zhong, Asad Khan,

Muhammad Awais Javeed

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e40335 - e40335

Published: Nov. 1, 2024

This paper investigates the behavior of fractional-order nonlinear multi-agent systems subjected to Byzantine assaults, specifically focusing on manipulations both sensors and actuators. We employ weighted graphs, directed undirected, illustrate system's topology. Our methodology combines algebraic graph theory with Lyapunov techniques develop requirements for leader-following consensus, providing a robust framework analyzing consensus dynamics in these complex systems. present quantitative results demonstrating effectiveness our approach, including two numerical examples that validate proposed evaluation. Notably, work highlights novelty using enhance resilience against adversarial conditions, contributing significantly field By clarifying key terms streamlining language, we ensure accessibility broader audience while emphasizing implications findings real-world applications.

Language: Английский

Citations

0