层次性 强大 通用纳什平衡 寻找高阶不确定非线性系统
IEEE transactions on cybernetics
|July 18, 2024
概括
本研究涉及分布式通用纳什平衡 (GNE) 在具有复杂约束的非线性多元代理系统 (MAS) 中. 一个层次的方法确保了准确的GNE趋同,尽管存在干扰.
科学领域:
- 控制理论 控制理论
- 游戏理论 游戏理论
- 非线性系统是非线性系统.
背景情况:
- 寻求通用纳什平衡 (GNE) 对多代理系统 (MAS) 至关重要.
- 现有的方法在非线性MAS中扎着复杂的,合的约束.
- 高级严格反系统带来了独特的控制挑战.
研究的目的:
- 为分布式GNE搜索开发一种新的等级方法.
- 解决 GNE 寻求高阶严格反非线性 MAS 具有一般约束的问题.
- 在存在不消失的干扰的情况下,确保强大的GNE收.
主要方法:
- 提出了一种两层层次的层次GNE寻求策略.
- 一个分布式初级双 GNE 估计器生成虚拟参考信号.
- 适应式跟踪控制器可以弥补干扰和输出限制.
主要成果:
- 拟议的方法成功地将GNE寻求解为估计和跟踪层.
- 虚拟参考信号在一般约束下汇聚到GNE.
- 尽管不消失不匹配的干扰,但仍能实现准确的GNE寻找.
结论:
- 层次方法有效地解决了复杂的MAS的分布式GNE寻找问题.
- 该方法证明了对干扰的稳定性.
- 这些发现为GNE寻求非线性多元代理系统提供了显著的进步.
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