Hybrid control strategy of delayed neural networks and its application to sampled-data systems: an impulsive-based bilateral looped-functional approach

S Dong, H Zhu, S Zhong, K Shi, Y Zeng - nonlinear dynamics, 2021 - Springer
In this work, the problem of hybrid control strategy for delayed neural networks is
investigated via an impulsive-based bilateral looped-functional (IBBLF) approach. Firstly, a …

Stability analysis for a class of impulsive high-order Hopfield neural networks with leakage time-varying delays

C Aouiti, EA Assali - Neural Computing and Applications, 2019 - Springer
This work considers the existence, the uniqueness, and the global exponential stability, the
uniform asymptotic stability, the global asymptotic stability and the uniform stability, of a class …

Input-to-state stability of impulsive inertial memristive neural networks with time-varying delayed

W Zhang, J Qi, X He - Journal of the Franklin Institute, 2018 - Elsevier
The property of input-to-state stability (ISS) of inertial memristor-based neural networks with
impulsive effects is studied. Firstly, according to the characteristics of memristor and inertial …

Generalized exponential input-to-state stability of nonlinear systems with time delay

F Sun, L Gao, W Zhu, F Liu - Communications in Nonlinear Science and …, 2017 - Elsevier
This paper studies the general input-to-state stability problem of the nonlinear delay
systems. By employing Lypaunov–Razumikhin technique, several general input-to-state …

Stability analysis for a class of impulsive competitive neural networks with leakage time-varying delays

C Aouiti, EA Assali, JD Cao, A Alsaedi - Science China Technological …, 2018 - Springer
In this paper, we consider the existence, the uniqueness, the global exponential stability, the
global asymptotic stability, the uniform asymptotic stability and the uniform stability of the …