Title of article :
FINITE-TIME PASSIVITY OF DISCRETE-TIME T-S FUZZY NEURAL NETWORKS WITH TIME-VARYING DELAYS
Author/Authors :
SYED ALI, M , MEENAKSHI, K , GUNASEKARAN, N , USHA, M
Abstract :
This paper focuses on the problem of nite-time boundedness and
nite-time passivity of discrete-time T-S fuzzy neural networks with time-
varying delays. A suitable Lyapunov{Krasovskii functional(LKF) is estab-
lished to derive sucient condition for nite-time passivity of discrete-time
T-S fuzzy neural networks. The dynamical system is transformed into a T-S
fuzzy model with uncertain parameters. Furthermore, the obtained passiv-
ity criteria is established in terms of Linear matrix inequality (LMI), which
can be easily checked by using the ecient MATLAB LMI toolbox. Finally,
some numerical cases are given to illustrate the eectiveness of the proposed
approach.
Keywords :
T-S fuzzy rule , Lyapunov-Krasovskii function , Discrete-time neural networks (DNNs) , Passivity , Finite-time stability
Journal title :
Astroparticle Physics