An Improved Delay-dependent Stability Criteria for Recurrent Neural Networks with Time-varying Delay

Abstract

Combining the concept of sampling control with free weight matrix method, two delay-dependent asymptotic stability criteria are presented for the equilibrium point of a class of recurrent neural networks with time varying delay. The obtained results can be suitable for fast or slowly time-varying delayed recurrent neural networks, and larger upper bound of time delay can be admitted. Comparisons are made by a numerical example to show the effectiveness of the obtained results.