Novel Stability Criteria of Neutral-type Neural Networks with Variable and Distributed Delays

The robust stability is investigated for a class of uncertain neutral-type neural networks with both variable and unbounded distributed delays. By introducing a new Lyapunov-Krasovskii functional, involving some free-weighting matrices, using the homeomorphism mapping principle, Cauchy-Schwarz inequality and linear matrix inequality(LMI) techniques, several delay-dependent sufficient criteria are obtained for asymptotic stability of considered neural networks, which generalize some previous results in the literature.