适应性动态编程用于包含控制与稳定性分析到代错误:一个全球纳什平衡解决方案
Zitao Chen1, Kairui Chen2, Jianhui Wang2
1School of Mathematics, Southeast University, Nanjing, 211189, Jiangsu, PR China; School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, Guangdong, PR China.
ISA transactions
|September 11, 2024
概括
本研究引入了一种代算法,使用图形游戏找到最佳的封闭控制解决方案. 它确保了对代错误的稳定性,即使没有系统动态知识.
科学领域:
- 控制理论 控制理论
- 游戏理论 游戏理论
- 优化优化 优化优化
背景情况:
- 对于多代理系统来说,最佳的封闭控制至关重要.
- 全球纳什平衡在图形游戏中提供最佳解决方案.
- 现有的方法往往缺乏稳定性或需要系统动态知识.
研究的目的:
- 开发一种代自适应动态编程算法,以解决最佳的封闭控制问题.
- 分析针对代错误的拟议算法的稳定性.
- 解汉密尔顿-雅各比方程,以保证全球纳什平衡的可解决性.
主要方法:
- 将封闭控制问题作为图形游戏.
- 应用代自适应动态编程.
- 导出足够的条件来解汉密尔顿-雅各比方程.
- 分析对代错误的稳定性.
主要成果:
- 一个新的代算法,用于全球纳什平衡在封闭控制.
- 全球纳什平衡解决方案的可解决性得到保证.
- 稳定性分析量化代错误的影响.
- 控制增益和合强度设计程序的分离.
结论:
- 拟议的算法有效地解决了最佳的封闭控制问题.
- 该方法对代错误具有稳定性,不需要系统动态.
- 这种方法比现有方法具有优势,因为它避免了微不足道的设计案例.
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