Stability Analysis of a Class of Fuzzy Hopfield Networks Based on T-Norms

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- Stability Analysis of a Class of Fuzzy Hopfield Networks Based on T-Norms
- Acta Electronica Sinica Vol. 30, Issue 1, Pages: 30-33(2002)
- 作者机构：
  
  1. 国防科技大学电子科学与工程学院,湖南,长沙,410073
  2. 国防科技大学理学院,湖南,长沙,410073
  3. 国防科技大学电子科学与工程学院湖南长沙,410073
  4. 国防科技大学理学院湖南长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183
- Published：2002
- 稿件说明：
移动端阅览
ZHANG Yi-rong, LIU Pu-yin, XIAN Ming, et al. Stability Analysis of a Class of Fuzzy Hopfield Networks Based on T-Norms[J]. Acta Electronica Sinica, 2002, 30(1): 30-33.
DOI：

ZHANG Yi-rong, LIU Pu-yin, XIAN Ming, et al. Stability Analysis of a Class of Fuzzy Hopfield Networks Based on T-Norms[J]. Acta Electronica Sinica, 2002, 30(1): 30-33. DOI：

本文建立了基于一类

T-

模的一种动态模糊神经网络-(∨

)Hopfield网.文章首先证明了系统本身的稳定性及系统平衡态的Lyapunov稳定性

然后建立了吸引子的一个非平凡吸引域

使系统具有良好的容错性.最后

通过例子验证了得到的结论.

The paper sets up a class of dynamical fuzzy neural network systems

i.e.so-called (∨

) fuzzy Hopfield networks based on

L-T

-norms.We prove the uniform stability of the system and the Lyapunov stability of the equilibrium points at first

then obtain a nontrivially attractive basin of the attractor so that the system has good fault-tolerance.Finally

simulation examples demonstrate our conclusions.

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