A Delay Decomposition Approach for Robust Dissipativity and Passivity Analysis of Neutral-Type Neural Networks with Leakage Time-Varying Delay

This article presents the robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay via delay decomposition approach. Using delay decomposition technique, new delay-dependent criteria ensuring the considered system to be (Q, R, S)-gamma dissipative are established in terms of strict linear matrix inequalities. A new Lyapunov-Krasovskii functional is constructed by dividing the discrete and neutral delay intervals into m and l segments, respectively, and choosing different Lyapunov functionals to different segments. Further, the dissipativity behaviors of neural networks which are affected due to the sensitiveness of the time delay in the leakage term have been taken into account. Finally, numerical examples are provided to show the effectiveness of the proposed method. (C) 2015 Wiley Periodicals, Inc.