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Stability Analysis of Interconnected Fuzzy Systems Using the Fuzzy Lyapunov Method

机译:采用模糊Lyapunov方法互联模糊系统的稳定性分析

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摘要

The fuzzy Lyapunov method is investigated for use with a class of interconnected fuzzy systems. The interconnected fuzzy systems consist of J interconnected fuzzy subsystems, and the stability analysis is based on Lyapunov functions. Based on traditional Lyapunov stability theory, we further propose a fuzzy Lyapunov method for the stability analysis of interconnected fuzzy systems. The fuzzy Lyapunov function is defined in fuzzy blending quadratic Lyapunov functions. Some stability conditions are derived through the use of fuzzy Lyapunov functions to ensure that the interconnected fuzzy systems are asymptotically stable. Common solutions can be obtained by solving a set of linear matrix inequalities (LMIs) that are numerically feasible. Finally, simulations are performed in order to verify the effectiveness of the proposed stability conditions in this paper.
机译:研究了模糊Lyapunov方法,用于一类互连的模糊系统。互连的模糊系统由J互连的模糊子系统组成,稳定性分析基于Lyapunov函数。基于传统的Lyapunov稳定性理论,我们进一步提出了一种模糊Lyapunov方法,用于互连模糊系统的稳定性分析。模糊Lyapunov函数在模糊混合二次Lyapunov函数中定义。通过使用模糊Lyapunov功能来衍生一些稳定性条件,以确保互连的模糊系统是渐近稳定的。通过求解一组线性矩阵不等式(LMI),可以获得几种可行的常见溶液。最后,进行仿真以验证本文所提出的稳定条件的有效性。

著录项

  • 作者

    Ken Yeh; Cheng-Wu Chen;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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