State estimation for memristive neural networks with mixed time-varying delays via multiple integral equality

摘要

? 2022 Elsevier B.V.This paper investigates the problem of state estimation for memristive neural networks with leakage, discrete, and distributed delays. Specifically, we firstly take simplified double integration as an example to deriving the multiple integral equality by using the integration properties. And then, we develop a novel Lyapunov–Krasovskii functional (LKF) including multiple integral terms, which improve stability criteria in terms of linear matrix inequalities (LMIs) and present to the superiority of potential efficiency in practice. More importantly, a stability criterion with less conservative has been established by using lemma and the principle of distributed integral calculation. Finally, numerical examples are given to illustrate the effectiveness of the proposed methods.