Periodic oscillation of memristor-based recurrent neural networks with time-varying delays and leakage delays

摘要

Purpose–The purpose of this paper is to investigate the existence and global exponential stability of periodic solution of memristor-based recurrent neural networks with time-varying delays and leakage delays.Design/methodology/approach–The differential inequality theory and some novel mathematical analysis techniques are applied.Findings–A set of sufficient conditions which guarantee the existence and global exponential stability of periodic solution of involved model is derived.Practical implications–It plays an important role in designing the neural networks.Originality/value–The obtained results of this paper are new and complement some previous studies.The innovation of this paper concludes two aspects:the analysis on the existence and global exponential stability of periodic solution of memristor-based recurrent neural networks with time-varying delays and leakage delays is first proposed;and it is first time to establish the sufficient criterion which ensures the existence and global exponential stability of periodic solution of memristor-based recurrent neural networks with time-varying delays and leakage delays.