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Related Experiment Video

Updated: Mar 19, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

A Layered Event-Triggered Consensus Scheme.

Wenying Xu, Guanrong Chen, Daniel W C Ho

IEEE Transactions on Cybernetics

|June 14, 2016

Summary

This summary is machine-generated.

This study introduces a novel layered event-triggered scheme (LETS) for multiagent systems, enabling agents to reach consensus efficiently. The LETS method avoids Zeno behavior and reduces continuous event detection.

Related Experiment Videos

Last Updated: Mar 19, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

Area of Science:

Control Theory
Networked Systems
Robotics

Background:

Multiagent systems are crucial for complex tasks.
Existing event-triggered schemes face limitations in multilayered structures.
Achieving consensus in layered networks requires novel approaches.

Purpose of the Study:

To propose a novel Layered Event-Triggered Scheme (LETS) for multiagent systems with multilayer structures.
To enable efficient and asynchronous information exchange between layers.
To ensure eventual asymptotical consensus and eliminate Zeno behavior.

Main Methods:

Development of a Layered Event-Triggered Scheme (LETS).
Synchronous information transmission within layers and asynchronous updates between layers.
Algorithm design to prevent continuous event detection.

Main Results:

Agents in different layers achieve asymptotical consensus.
Zeno behavior is successfully eliminated under the LETS.
The proposed scheme differs from existing centralized or distributed event-triggered methods.

Conclusions:

The LETS provides an effective strategy for consensus in multilayered multiagent systems.
The scheme enhances communication efficiency by managing information flow.
The elimination of Zeno behavior and continuous event detection ensures practical applicability.