对于未测量前提变量的Takagi-Sugeno模糊系统的观察者设计:使用直线积分Lyapunov函数减少保守主义
K Mimoune1, M Y Hammoudi1, W Hamdi1
1MSE Laboratory, University of Biskra, 07000, Algeria.
ISA transactions
|August 16, 2023
概括
这项研究引入了Takagi-Sugeno模糊系统中非线性观察者的一种新型非二次式的Lyapunov函数,减少了不可测量的变量的保守性. 该方法确保了全球稳定性,并简化了分析,并通过机器人实验验证.
科学领域:
- 控制系统工程 控制系统工程
- 模糊逻辑系统 模糊逻辑系统
- 非线性系统分析 非线性系统分析
背景情况:
- 为 Takagi-Sugeno 模糊系统设计观察器,这些系统具有无法测量的前提变量,这是一项挑战.
- 传统方法往往会导致保守的稳定性条件.
研究的目的:
- 为连续时间的Takagi-Sugeno模糊系统开发一个不那么保守的非线性观察者,具有不可测量的前提变量.
- 确保全球稳定,使用一种新的利亚普诺夫函数方法.
主要方法:
- 采用非二次式的利亚普诺夫函数,特别是基于成员函数的积分的直线积分利亚普诺夫函数.
- 利用平均值定理和部门非线性转换将非线性错误动态转换为线性参数变量系统.
- 作为线性矩阵不等式 (LMIs) 所制定的稳定性条件.
主要成果:
- 拟议的直线积分Lyapunov函数减少了与二次形式相比的保守主义.
- 该方法通过避免对会员函数的时间导数的需求来简化分析.
- 稳定性条件是宽松的,可以通过线性编程解决.
结论:
- 这种新的方法有效地为具有不可测量的变量的模糊系统设计非线性观察者.
- 在灵活的关节机器人上进行硬件循环测试验证了该方法的成功.
- 拟议的方法提供了一个更强大的和计算效率更高的解决方案.
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