On global exponential stability of cellular neural networks with Lipschitz-continuous activation function and variable delays

Stability analysis of fuzzy cellular neural networks with time delay in the leakage term and impulsive perturbations

“…Therefore, it is of prime importance to consider the delay effects on the stability of neural networks. Up to now, neural networks with various types of delay have been widely investigated by many authors [7,9,11,12,18,24,25,28,33,36,44,45].…”

New global exponential stability criteria for interval-delayed neural networks

“…Therefore, studying the stability of the neural networks with time delay has important significance in practice. In the past few years, a rich literature has been dedicated to analyse the stability of delayed neural networks [2][3][4][5][6][7][8][9][10][11][12][13][14] and references therein. The existing results can generally be classified into two categories: delay-independent stability conditions and delay-dependent stability conditions.…”

New global stability criteria for interval delayed neural networks

“…In particular, in the electronic implementation of analogue neural networks, time delays occur in the communication and response of neurons owing to the finite switching speed of amplifiers. It is known that time delays in the response of neurons can influence the stability of a network, and some works have proclaimed that time delays in the response of neurons can influence a network creating oscillatory and unstable characteristics [1], [2], [3], [13], [14], [16], [17] and [22]- [25]. Therefore, studying the stability of the neural networks with time-constant delays possess an important significations in practice.…”