Discrete-time BAM neural networks with variable delays

FINITE-TIME PASSIVITY OF DISCRETE-TIME T-S FUZZY NEURAL NETWORKS WITH TIME-VARYING DELAYS

This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...

Delay-Dependent Exponential Stability of Discrete-Time BAM Neural Networks with Time Varying Delays

This paper considers the delay-dependent exponential stability for discrete-time BAM neural networks with time-varying delays. By constructing the new Lyapunov functional, the improved delay-dependent exponential stability criterion is derived in terms of linear matrix inequality LMI . Moreover, in order to reduce the conservativeness, some slack matrices are introduced in this paper. Two numer...

LMI Approach to Stability Analysis of Discrete-Time BAM Neural Networks with Time-Varying Delays

In this paper, a discrete-time bidirectional associative memory (BAM) neural network with time-varying delays is considered. The description of the activation functions is more general than the recently commonly used Lipschitz conditions. By using appropriate Lyapunov-Krasovskii functional and linear matrix inequality (LMI) technique, a delay-dependent sufficient condition is obtained to guaran...

Robust stability of discrete-time uncertain stochastic BAM neural networks with time-varying delays

Corresponding author. Address: Department of Mathematics, Chongqing Jiaotong University, Chongqing, 400074, P. R. China. E-mail address: [email protected] (Q.Song). This work was jointly supported by the National Natural Science Foundation of China under Grant 10772152, and the Scientific Research Fund of Chongqing Municipal Education Commission under Grant KJ070401. Robust stability of discr...

Anti-periodic solutions for BAM neural networks with time delays