Analysis of Global Asymptotic Stability and Pseudo Almost Periodic Solution of a Class of Chaotic Neural Networks

Abstract

In this paper we give sufficient conditions ensuring the existence and uniqueness of pseudo almost periodic solution of a class of delayed chaotic neural networks. Further, we study the global asymptotic stability (GAS) of the considered model and give a set of criteria on (GAS) by constructing new Lyapunov functional.

Keywords:

• almost periodic functions
• mathematical model
• neural networks
• contraction mapping principle
• delay

AMS Subject Classification:

• 34K14
• 92B20
• 93D20