Passivity of Inertial Neural Networks With Delays on Time Scales

被引：1

作者：

Xiao, Qiang ^{[1
]}

Wang, Lingyu ^{[2
]}

Huang, Tingwen ^{[3
]}

机构：

[1] Hamad Bin Khalifa Univ, Coll Sci & Engn, Doha, Qatar

[2] Jimei Univ, Sch Sci, Xiamen, Peoples R China

[3] Texas A&M Univ Qatar, Dept Math, Doha, Qatar

来源：

2017 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2017年

关键词：

Passivity; inertial neural networks; delay; time scale; VARYING DELAYS; STABILITY; SYNCHRONIZATION; SYSTEMS; MULTIPERIODICITY;

D O I：

10.1109/CIS.2017.00048

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 deals with the passivity problem of inertial neural networks (INNs) with discrete delays on time scales. By one linear variable transformation, one passivity criterion is obtained based on the calculus of time scale and LMI techniques Furthermore, two particular criteria for the corresponding continuous and discrete time INNs are derived. Some numerical examples are given to show the validity of the obtained results. The time scale scheme offers results that hold for continuous-time systems, discrete-time systems, and the systems that involve on time intervals.

引用

页码：187 / 191

页数：5

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