Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays  

作　　者：CHAOUKI Aouiti EL ABED Assali 

机构地区：[1]University of Carthage,Faculty of Sciences of Bizerta,Department of Mathematics,Research Units of Mathematics and Applications UR13ES47,7021 Zarzouna,Bizerta,Tunisia

出　　处：《Journal of Systems Science & Complexity》2021年第1期206-235,共30页系统科学与复杂性学报（英文版）

摘　　要：This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays(mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities,some new and effective criteria are obtained for ensuring the finite-time synchronization. Finally, three numerical examples are also given at the end of this paper to show the effectiveness of the results.

关 键 词：Finite-time synchronization fixed-time synchronization inertial neural networks infinitetime distributed delays time-varying delays 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] O178[自动化与计算机技术—控制科学与工程]