Passivity and robust passivity of impulsive inertial neural networks with proportional delays under the non-reduced order approach

被引:4
|
作者
Zhang, Jun [1 ]
Zhu, Song [1 ,2 ]
机构
[1] China Univ Min & Technol, Sch Math, Xuzhou 221116, Peoples R China
[2] Jiangsu Ctr Appl Math CUMT, Xuzhou 221116, Peoples R China
关键词
Inertial neural networks; Non-reduced order; Proportional delays; Passivity; Robust passivity; TIME-VARYING DELAYS; STABILITY ANALYSIS; SYNCHRONIZATION; DISCRETE; BIFURCATION; CRITERIA;
D O I
10.1016/j.neucom.2024.127322
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper primarily addresses the problems of passivity and robust passivity of impulsive inertial neural networks (IINNs) with proportional delays. By constructing the Lyapunov functional directly on the original system using the non -reduced order approach, some passivity and robust passivity criteria for IINNs are addressed. In comparison with the order reduction method utilized in the existing articles, the non -reduced order method is more in line with real requirements and can better analyze the dynamic behavior of inertial neural networks (INNs). Meanwhile, the results in this paper are all in algebraic form, which are easy to verify. To demonstrate the effectiveness of the results derived, numerical examples are presented at the end.
引用
收藏
页数:7
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