Synchronization of decentralized event-triggered uncertain switched neural networks with two additive time-varying delays

Nonlinear Analysis

Faris Alzahrani¹  Young Hoon Joo²  Jinde Cao³  Rajarathinam Vadivel⁴  M.Syed Ali⁵ 

[1] King Abdulaziz University;Kunsan National University;Southeast University;Thiruvalluvar University / Phuket Rajabhat University;Thiruvalluvar University;

关键词: event-triggered scheme;    switched neural networks;    Lyapunov–Krasovskii functional;    exponential stability;    average dwell time;   

DOI  :  10.15388/namc.2020.25.16512

来源: DOAJ

【 摘 要 】

This paper addresses the problem of synchronization for decentralized event-triggered uncertain switched neural networks with two additive time-varying delays. A decentralized eventtriggered scheme is employed to determine the time instants of communication from the sensors to the central controller based on narrow possible information only. In addition, a class of switched neural networks is analyzed based on the Lyapunov–Krasovskii functional method and a combined linear matrix inequality (LMI) technique and average dwell time approach. Some sufficient conditions are derived to guarantee the exponential stability of neural networks under consideration in the presence of admissible parametric uncertainties. Numerical examples are provided to illustrate the effectiveness of the obtained results.

【 授权许可】

Unknown