Sampled-data synchronization criteria for Markovian jumping neural networks with additive time-varying delays using new techniques
作者：
Highlights：
• The sampled-data synchronization of Markovian jumping neural networks with additive time-varying delays is studied.
• A ternary quadratic function negative-determination condition and the bilateral sampled-intervalrelated Lyapunov functional approach are proposed for the first time.
• Several sufficient criteria are established by utilizing the developed two novel approaches.
• Two numerical examples are provided to verify the feasibility and effectiveness of the achieved theoretical results.
摘要
•The sampled-data synchronization of Markovian jumping neural networks with additive time-varying delays is studied.•A ternary quadratic function negative-determination condition and the bilateral sampled-intervalrelated Lyapunov functional approach are proposed for the first time.•Several sufficient criteria are established by utilizing the developed two novel approaches.•Two numerical examples are provided to verify the feasibility and effectiveness of the achieved theoretical results.
论文关键词：Markovian jumping neural networks,Additive time-varying delays,Sampled-data control,Synchronization
论文评审过程：Received 9 December 2020, Revised 22 June 2021, Accepted 13 August 2021, Available online 20 September 2021, Version of Record 20 September 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.126604
