一种3型模糊同步系统受到hysteresis量化器输入和未知的动态:适用于金融和物理混乱系统
Manwen Tian1, Ardashir Mohammadzadeh2, Hamid Taghavifar3
1School of Management, Guangdong University of Science and Technology, Dongguan 523083, China.
ISA transactions
|December 11, 2025
概括
这项研究介绍了一种新的自适应控制方法,使用3型模糊逻辑系统 (T3-FLS) 来同步混乱系统. 该方法有效地处理未知的动态和非线性,而不需要先前的系统知识.
科学领域:
- 控制系统工程 控制系统工程
- 混沌理论 混沌理论
- 模糊逻辑系统 模糊逻辑系统
背景情况:
- 混乱系统在同步和稳定方面存在挑战,原因是未知的动态和输入非线性.
- 现有的控制方法往往需要对系统方程的先验知识,这限制了它们的适用性.
研究的目的:
- 提出一种新的适应性控制策略,用于同步和稳定具有未知的动态和非线性质的混乱系统.
- 开发3型模糊逻辑系统 (T3-FLSs),用于对主和奴隶混乱系统的实时自适应建模.
- 为了应对控制设计中受部门限制的歇斯底里和量子化所带来的挑战.
主要方法:
- 使用3型模糊逻辑系统 (T3-FLS) 对混乱系统的自适应建模.
- 控制设计明确考虑了受部门限制的歇斯底里和量子化.
- 通过稳定性和稳定性分析来导出适应规律,以获得平稳的控制信号.
- 实时实现和广泛的模拟用于验证.
主要成果:
- 混乱系统的精确同步和稳定,尽管存在严重的不确定性和高噪音水平.
- 提出的方法证明了与非相同的混乱系统的稳定性.
- 产生的平滑控制信号没有声,稳定性分析证实了这一点.
结论:
- 与现有的模糊控制方法相比,基于T3-FLS的新型自适应控制方法为混乱系统同步提供了卓越的性能.
- 该方法处理未知的动态,非线性和输入干扰的能力使其非常有效和广泛适用.
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