A trust‐based resilient consensus algorithm for distributed optimization considering node and edge attacks

DOI10.1002/rnc.6568OpenAlexW4313372473MaRDI QIDQ6190371

Chentao Xu, Qingshan Liu

Publication date: 6 February 2024

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.6568

zbMATH Keywords

multi-agent systemdistributed optimizationByzantine attackresilient consensus algorithm

Mathematics Subject Classification ID

Multi-agent systems (93A16) Consensus (93D50)

Cites Work

• Secure impulsive synchronization control of multi-agent systems under deception attacks
• Distributed Optimization Under Adversarial Nodes
• Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization
• Distributed Subgradient Methods for Multi-Agent Optimization
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• Distributed Output-Feedback Consensus Control of Multiagent Systems with Unknown Output Measurement Sensitivity
• Resilient Leader-Follower Consensus to Arbitrary Reference Values in Time-Varying Graphs
• Resilient Distributed Optimization Algorithm Against Adversarial Attacks
• Resilient Primal–Dual Optimization Algorithms for Distributed Resource Allocation
• Almost output consensus of nonlinear multiagent systems in the presence of external disturbances
• Distributed hybrid impulsive algorithm with supervisory resetting for nonlinear optimization problems
• An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator
• Resilient consensus‐based distributed optimization under deception attacks

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