WSEAS Transactions on Circuits and Systems
Print ISSN: 1109-2734, E-ISSN: 2224-266X
Volume 17, 2018
Improved Results on Passivity Analysis of Neutral-Type Neural Networks with Mixed Time-Varying Delays
Authors: , , ,
Abstract: This paper is considered with problem of the passivity analysis for neutral-type neural networks with mixed time-varying delays. By constructing an augmented Lyapunov-Krasovskii functionals and using the double integral inequality with approach to estimate the derivative of the Lyapunov-Krasovskii functionals, sufficient conditions are established to ensure the passivity of the considered neutral-type neural networks, in which some useful information on the neuron activation function ignored in the existing literature is taken in to account. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.