对于时间变化的成本,规定的时间完全分布式优化:零梯度和方案
Ningning Mao1, Shuai Liu1, Yuan Liu2
1School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
ISA transactions
|January 11, 2026
概括
本研究介绍了一种用于时间变化的目标的新型分布式优化算法,在用户定义的截止日期内实现趋同. 该方法使用自适应参数,消除了对真正分布式控制的全球网络信息的需求.
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 分布式计算
背景情况:
- 现有的分布式优化算法通常需要全球网络信息,或者受到初始条件的限制.
- 时间变化的目标对分布式系统中的趋同保证提出了挑战.
研究的目的:
- 为时间变化的目标开发一种新的分布式优化算法.
- 在不依赖全球网络信息的情况下实现规定的时间趋同.
- 克服现有方法关于初始条件和网络拓学的局限性.
主要方法:
- 基于零梯度和 (ZGS) 原则的分布式优化算法的开发.
- 实现一个具有适应参数和时间变化的缩放功能的滑动模式控制框架.
- 理论分析结合了优化理论和利亚普诺夫稳定性分析.
主要成果:
- 该算法实现了对时间变化的优化问题的规定的时间收.
- 它展示了真正的分布式控制,独立于全球网络信息和拉普拉斯的固有值.
- 该方法没有初始条件约束和局部最小化要求.
结论:
- 拟议的算法为具有时间变化的目标的分布式优化提供了强大而高效的解决方案.
- 它通过在没有全球信息的情况下实现分布式控制来显著推进该领域.
- 数字模拟证实了与现有方法相比,它的性能优越.
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