强大的控制器的基于游戏的多目标演变
Adham Salih1, Erella Eisenstadt Matalon1
1Department of Mechanical Engineering, Braude College of Engineering, Karmiel, Israel.
ISA transactions
|September 19, 2025
概括
这项研究引入了一种新的游戏理论框架,用于设计抗外部噪声强大的控制器. 它使用Stackelberg游戏有效地找到最佳控制器并识别破坏性噪音配置文件.
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:
- 在控制系统工程中,设计对外部噪声强大的控制器是一个重大挑战.
- 传统方法可能缺乏计算效率或无法考虑对抗噪音的产生.
研究的目的:
- 提出一个新的框架来设计对外部噪声有力的控制器.
- 使用游戏理论开发一种计算效率高的方法.
主要方法:
- 采用了两人Stackelberg游戏模型,其中一个玩家设计控制器,另一个玩家优化破坏性噪音.
- 一个经过修改的共同进化算法被开发来解决游戏.
- 噪音发生器的策略与选定的控制器对效率进行了评估.
主要成果:
- 拟议的框架成功地确定了一组非主导的强大解决方案.
- 数字研究证明了这种方法在强有力的控制问题中的有效性.
- 该方法在识别强大的控制器方面显示出优于传统技术的优势.
结论:
- 多目标游戏框架为稳健的控制器设计提供了有效和计算效率高的方法.
- 这种方法可以识别出适应最具破坏性的外部噪音配置文件的最佳控制器.
- 开发的算法和框架比现有的强有力的控制方法有了显著的进步.
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