多代理系统的合作控制:基于量子化反的事件触发方法.
IEEE transactions on cybernetics
|September 13, 2023
概括
这项研究为不确定的非线性多剂体系统引入了事件触发的神经适应控制. 新的策略通过间歇更新参数来减少通信和计算,确保系统同步.
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
背景情况:
- 在高阶不确定的非线性多代理系统中同步跟踪存在重大挑战.
- 现有的方法往往需要持续的通信和计算,导致效率低下.
研究的目的:
- 开发一个事件触发的神经适应控制方法,用于高阶不确定非线性多代理系统的同步跟踪.
- 通过间歇反和参数更新来减少通信和计算负载.
主要方法:
- 对于国家频道,采用了一种基于存储器的新型触发传输策略.
- 提出了一种事件触发的神经适应控制方法,并提供定量状态反.
- 为了间歇更新神经网络权重,使用了双相技术.
主要成果:
- 拟议的方法通过在触发瞬间执行参数估计来避免连续的控制更新.
- 使用单个事件探测器实现了低频触发传输,每个代理使用单个事件探测器.
- 追踪和不同意错误被引导到一个可调节的邻里,靠近源.
- 严格积极的停留时间被证明可以防止Zeno行为.
结论:
- 开发的事件触发神经适应控制方案是有效的同步跟踪复杂的多代理系统.
- 该策略有效地节约了通信和计算资源.
- 理论分析和模拟证实了该协议的有效性和性能.
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