.png){kind=icon}
.png){kind=icon}
Return
Resilient Initial-Dependent Coordination via Transformed Consensus and Distributed Compensation
.png){kind=icon}
PRE
AI
Y
F
DOI：10.1109/tcns.2026.3673503.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This article addresses the challenge of resilient initial-dependent coordination in multiagent systems with abnormal nodes. Initial-dependent coordination refers to the process where each node’s final value converges to the transformed average of the initial values, with internode relationships modeled using augmented transformation matrices. This formulation captures a broad class of coordination and information fusion tasks involving coordinate transformations. We propose a resilient transformed consensus protocol and define the conditions required to achieve initial-dependent coordination in the presence of abnormal nodes. To implement these conditions, we design a distributed accounting and compensation mechanism. Specifically, each node maintains a private ledger that records real-time interaction data with its neighbors. Abnormal behaviors are detected by reconciling accounts with neighboring nodes, leveraging historical interaction information. The accounting mechanism provides a more flexible and effective detection condition. To recover from the impact of abnormal behaviors, we design a distributed compensation scheme that guides normal nodes to adjust their states, mitigating the adverse effects caused by abnormal nodes. Finally, numerical simulations in a sensor network under various abnormal behaviors validate the effectiveness of our approach.
Keywords:
Cyber attacks
distributed compensation
initial-dependent
resilient coordination
transformed consensus
Journal
IF:
5
Papers:
1.6K
Citations:
5.8K
Organization
Cited Papers