资源配置分布式优化问题与动态事件触发策略
Feilong Guo1, Xinrui Chen1, Mengyao Yue1
1College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China.
Entropy (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了针对资源分配问题 (RAP) 的动态事件触发 (DET) 策略. 基于共识的新型分布式优化方法确保了高效和没有Zeno的代理通信.
科学领域:
- 控制系统工程 控制系统工程
- 分布式优化 分布式优化
- 网络化多代理系统 网络化多代理系统
背景情况:
- 在各种系统中,资源分配问题 (RAP) 是至关重要的.
- 现有的分布式优化方法往往需要持续的沟通,导致效率低下.
- 动态事件触发 (DET) 策略提供了一种有希望的方法来减少通信负载.
研究的目的:
- 开发新的DET策略来解决资源分配问题 (RAP).
- 为DET策略量身定制的基于共识的分布式优化算法设计.
- 确保拟议的策略没有Zeno行为.
主要方法:
- 使用多个代理商的共识方法来制定一对一的DET策略.
- 一对一的DET策略扩展到异步的一对一的DET策略.
- 进行理论分析以证明没有Zeno行为.
主要成果:
- 成功开发了一种针对RAP的全新一对一的DET策略.
- 介绍了一种扩展的一对一 DET 策略,使异步通信成为可能.
- 提出的DET策略在数学上被证明可以避免Zeno行为.
结论:
- 开发的DET策略有效地解决了资源配置问题.
- 基于共识的分布式优化方法与DET策略得到了验证.
- 数字模拟证实了理论发现和实际应用.
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