Finite-Time Mixed <i>H</i> _∞/Passivity for Neural Networks With Mixed Interval Time-Varying Delays Using the Multiple Integral Lyapunov-Krasovskii Functional

In this article, we consider the finite-time mixed H ∞ /passivity, stability, and boundedness for generalized neural networks with interval distributed discrete time-varying delays. It is noted that first time studying in combination of , passivity, boundedness. To obtain several sufficient criteria achieved form linear matrix inequalities (LMIs), introduce an appropriate Lyapunov-Krasovskii function (LKF) including single, double, triple, quadruple integral terms, estimating bound derivative LKF use Jensen's inequality, extended single double Wirtinger's a new triple inequality. These LMIs can be solved by using MATLAB's LMI toolbox. Finally, five numerical simulations are shown to illustrate effectiveness obtained results. The received published literature compared.