相关实验视频
Updated: Jan 9, 2026

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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基于观察者的群体共识跟踪在适应性事件触发机制下的混合多代理系统
1School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China.
ISA transactions
|December 5, 2025
概括
这项研究通过优化通信资源和改善代理人自我调整来增强多代理系统中的群体共识跟踪. 适应性事件触发机制确保了有效的协调,没有Zeno行为.
科学领域:
- 控制系统工程 控制系统工程
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
背景情况:
- 多代理系统对于协调无人系统至关重要.
- 现有的共识追踪方法在组分,代理自我调整和沟通效率方面面临挑战.
研究的目的:
- 为解决混合多代理系统的基于观察者的群体共识跟踪方面的局限性.
- 开发一个适应性事件触发机制,以加强协调和资源优化.
主要方法:
- 提出了改进的观测策略,包括全球观测和集群合作校正术语.
- 设计了一个使用自适应增益和事件触发共识错误的自适应组共识跟踪控制协议.
- 实施了适应性事件触发机制,以防止Zeno行为并优化通信.
主要成果:
- 在混合多代理系统中实现了有效的群体共识跟踪.
- 证明了对跟踪特工的增强自我调整能力.
- 通过事件触发机制显著优化了通信资源的利用.
结论:
- 拟议的适应性事件触发机制有效地解决了基于观察者的群体共识跟踪问题.
- 该研究通过模拟和比较实验验证实了系统性能和通信效率的提高.
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