非线性多代理系统的双边合作控制与状态和输出量化
IEEE transactions on cybernetics
|March 18, 2025
概括
本研究介绍了一种新的模糊自适应控制方法,用于具有量子化状态的非线性多元代理系统 (NMAS). 这种方法确保了有效的合作控制,尽管系统非线性和不可测量的状态.
科学领域:
- 控制理论 控制理论
- 人工智能的人工智能
- 系统工程 系统工程
背景情况:
- 非线性多元代理系统 (NMAS) 由于其复杂的动态,存在重大控制挑战.
- 状态估计和适应性控制对于管理NMAS中的不确定性至关重要.
- 状态和输出的量化可以进一步复杂化控制设计.
研究的目的:
- 开发一个模糊的适应状态和输出量化的NMAS双边合作控制战略.
- 解决NMASs中非线性和不可测量的状态所带来的挑战.
- 设计一个强大的控制系统,包括量子化效应.
主要方法:
- 模糊逻辑系统 (FLS) 用于在NMAS中近似未知非线性函数.
- 模糊状态观察器的设计是为了估计无法测量的状态.
- 使用二级命令过器来管理虚拟控制函数的时间导数.
- 在控制器设计中集成了一种统一的量子计,用于模糊的自适应逆转.
主要成果:
- 拟议的模糊自适应控制方法有效地处理NMAS中的非线性和状态量化.
- 模拟实验证明了控制策略的成功实施和性能.
- 双边合作控制目标是在设计的模糊适应框架下实现的.
结论:
- 开发的模糊自适应控制方法为NMAS的量化双边合作控制提供了可行的解决方案.
- 模糊逻辑,状态观察员,命令过器和量化集成是有效的.
- 该研究通过全面的模拟验证了拟议方法的有效性.
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