scholarly journals Dissipativity Analysis for Discrete Time-Delay Fuzzy Neural Networks With Markovian Jumps

2016 ◽  
Vol 24 (2) ◽  
pp. 432-443 ◽  
Author(s):  
Yingqi Zhang ◽  
Peng Shi ◽  
Ramesh K. Agarwal ◽  
Yan Shi
2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
YaJun Li ◽  
Quanxin Zhu

This paper is concerned with the stability problem of a class of discrete-time stochastic fuzzy neural networks with mixed delays. New Lyapunov-Krasovskii functions are proposed and free weight matrices are introduced. The novel sufficient conditions for the stability of discrete-time stochastic fuzzy neural networks with mixed delays are established in terms of linear matrix inequalities (LMIs). Finally, numerical examples are given to illustrate the effectiveness and benefits of the proposed method.


Author(s):  
Cleber Zanchettin ◽  
Teresa Bernarda Ludermir

Este trabalho investiga a utilização de Sistemas Híbridos Inteligentes no sistema de reconhecimento de padrões de um nariz artificial. São abordadas as arquiteturas conexionistas Multi-Layer Perceptron e Time Delay Neural Network; e as arquiteturas híbridas Feature-weighted Detector e Evolving Fuzzy Neural Networks. Além dos classificadores, um filtro Wavelet é avaliado como método de pré-processamento para os sinais de odores. Foram analisados sinais gerados por um nariz artificial, composto por um conjunto de sensores de polímeros condutores, exposto a duas bases de odores distintas.


Sign in / Sign up

Export Citation Format

Share Document