Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular Neural Networks with Time-Varying Delays

被引：4
作者：
Liu, Pin-Lin [1 ]
机构：
[1] Chien Kuo Technol Univ, Inst Mechatronopt Syst, Dept Automat Engn, Changhua 500, Taiwan
来源：
NEURAL PROCESSING LETTERS | 2018年 / 47卷 / 03期
关键词：
Delayed cellular neural networks (DCNN); Exponential stability; Linear matrix inequality (LMI); Time-varying delays; Integral inequality approach (IIA); MARKOVIAN JUMPING PARAMETERS; VARIABLE DELAYS; IMPULSE CONTROL; LEAKAGE DELAYS; SYSTEMS; STATE; STABILIZATION; CRITERIA;
D O I：
10.1007/s11063-017-9683-6
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 is concerned with global robust exponential stability for a class of delayed cellular neural networks with time-varying delays. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality and the integral inequality approach. Numerical examples are illustrated to show the effectiveness of the proposed method. From the simulation results, significant improvement over the recent results can be observed.
引用
收藏
页码：1177 / 1195
页数：19
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