Abstract

This paper focuses on the finite-time synchronization analysis for complex-valued recurrent neural networks with time delays. First, two kinds of common activation functions appearing in the existing references are combined together and more general assumptions are given. To achieve our aim, a nonlinear delayed controller with two independent parameters different from the existing ones is provided, which leads to great difficulty. To overcome it, a newly developed inequality is used. Then, via Lyapunov function approach, some criteria are derived to guarantee the finite-time synchronization of the considered system, and the settling time for synchronization is also estimated. Finally, two numerical simulations are given to support the effectiveness and advantages of the obtained results.

Highlights

  • In recent years, neural networks have been always very important to researchers in various fields, to name a few, control theory and signal processing in electrical engineering, parallel computation and pattern recognition in computer science, and modeling optimization problems in applied mathematics

  • This paper focuses on the finite-time synchronization analysis for complex-valued recurrent neural networks with time delays

  • As everyone knows, most applications rely heavily on the dynamical behavior of recurrent neural networks. This sets off a research upsurge for the dynamics of neural networks

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Summary

Introduction

Neural networks have been always very important to researchers in various fields, to name a few, control theory and signal processing in electrical engineering, parallel computation and pattern recognition in computer science, and modeling optimization problems in applied mathematics. For finite-time stability analysis of delayed complex-valued neural networks models, until now, few results have been developed. In view of the unavoidability of time delays [53,54,55], the finite-time synchronization problem for complex-valued recurrent neural networks with time delays is presented. The main contributions of our work are embodied in several points: (1) A nonlinear delayed controller with independent parameters μ1 and μ2 different from the most existing results is designed to achieve the finite-time synchronization of the considered system.

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