Impulsive differential equations are used for the mathematical simulation of processes which
are subject to impulses during their evolution. Such processes can be observed in …

The book presents qualitative results for different classes of fractional equations, including
fractional functional differential equations, fractional impulsive differential equations, and …

This book is devoted to impulsive functional differential equations which are a natural
generalization of impulsive ordinary differential equations (without delay) and of functional …

Page 1 Lecture Notes in Mathematics 2047 Almost Periodic Solutions of Impulsive
Differential Equations Springer Page 2 Lecture Notes in Mathematics Editors: J.-M. Morel …

This paper is concerned with the stability of delayed recurrent neural networks with impulse
control and Markovian jump parameters. The jum** parameters are modeled as a …

This book addresses the new models in mathematical neuroscience and artificial neural
networks, which have many similarities with the structure of the human brain and the …

The fractional competitive neural networks (FCNNs) with multiple restrictions are considered
in this article. Specially, the FCNNs with memristors and time-varying delays in complex field …

In this paper, we extensively study the analysis of complete stability of complex-valued
neural networks with time delay and impulsive effects. Using stability theory, impulsive …

In this paper, by utilizing the Lyapunov–Krasovkii functional and combining with the linear
matrix inequality (LMI) approach, we analyze the global exponential stability of neutral-type …

In this paper, the dynamics including boundedness and stability for a general class of
complex-valued neural networks with variable coefficients and proportional delays are …