在资源限制下,分布式实时动态合作优化与未知性能函数形式在资源限制下
1College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu Province, China.
ISA transactions
|August 7, 2025
概括
本研究介绍了一种新的分布式动态优化算法,用于连续时间系统中的实时资源配置. 它适应性地优化了性能,即使当系统的系统.
科学领域:
- 控制系统工程 控制系统工程
- 优化理论 优化理论
- 分布式计算 (Distributed Computing) 是一种分布式计算.
背景情况:
- 连续时间系统通常涉及部分未知的复杂性能函数.
- 传统的资源分配方法在动态,时间变化的环境中扎.
- 分布式系统需要在资源限制下进行有效的协调.
研究的目的:
- 为连续时间系统设计分布式动态优化算法.
- 为多节点系统开发一个最佳的资源分配方案.
- 为了应对优化未知的性能功能组件的挑战.
主要方法:
- 提出了一个新的分布式动态优化算法.
- 该算法使用分布式信息实时运行.
- 它采用适应性策略来处理未知的系统动态.
主要成果:
- 该算法在动态环境中提供实时最佳调度结果.
- 它成功地以适应性方式优化全球性能,即使具有未知的性能函数.
- 在多节点系统中,在约束条件下展示有效的资源配置.
结论:
- 开发的算法为连续时间系统的实时动态优化提供了强大的解决方案.
- 它在分布式环境中提高了资源分配效率.
- 适应性允许在不完全了解系统性能功能的情况下进行优化.
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