Further Results on Passivity Analysis of Neural Networks With Time-Varying Delay

被引：0

作者：

Zeng, Hong-Bing ^{[1
]}

Xiao, Shen-Ping ^{[1
]}

Zhang, Chang-Fan ^{[1
]}

Chen, Gang ^{[1
]}

机构：

[1] Hunan Univ Technol, Sch Elect & Informat Engn, Zhuzhou 412007, Peoples R China

来源：

26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年

关键词：

Neural networks; passivity; delay-dependent; Lyapunov-Krasovskii functional; linear matrix inequalities (LMIs); GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; ROBUST STABILITY; DISCRETE; CRITERIA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with the problem of passivity analysis for neural networks with both time-varying delay and norm-bounded parameter uncertainties. By further utilizing the information of activation function and employing a reciprocally convex approach to consider the relationship between the time-varying delay and its time-varying interval, some improved delay-dependent passivity conditions are obtained, which are formulated in terms of linear matrix inequalities (LMIs) and can be readily solved by existing convex optimization algorithms. Finally, a numerical example is provided to verify the effectiveness of the proposed techniques.

引用

页码：161 / 165

页数：5

共 50 条

[31] Passivity of uncertain neural networks with both leakage delay and time-varying delay
Qiankun Song
Jinde Cao
[J]. Nonlinear Dynamics, 2012, 67 : 1695 - 1707
[32] Further results on passivity analysis of delayed neural networks with leakage delay
Chen, Yonggang
Fu, Zhumu
Liu, Yurong
Alsaadi, Fuad E.
[J]. NEUROCOMPUTING, 2017, 224 : 135 - 141
[33] Further Results on Exponential Robust Stability Analysis for Recurrent Neural Networks With Time-Varying Delay
Liu, Pin-Lin
[J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2015, 137 (04):
[34] Passivity analysis for uncertain neural networks with discrete and distributed time-varying delays
Chen, Bing
Li, Hongyi
Lin, Chong
Zhou, Qi
[J]. PHYSICS LETTERS A, 2009, 373 (14) : 1242 - 1248
[35] Novel Delay-Dependent Stability Results for Neural Networks with Time-Varying Delays
Shao, Hanyong
[J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2010, 29 (04) : 637 - 647
[36] Global Exponential Stability Analysis for Recurrent Neural Networks with Time-varying Delay
Guo, Xiaoli
Li, Qingbo
Chen, Yonggang
Wu, Yuanyuan
[J]. CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 2976 - +
[37] Improved passivity analysis for neural networks with Markovian jumping parameters and interval time-varying delays
Chen, Guoliang
Xia, Jianwei
Zhuang, Guangming
[J]. NEUROCOMPUTING, 2015, 155 : 253 - 260
[38] Delay-dependent stability analysis for neural networks with additive time-varying delay components
Zhu, Xun-Lin
Yue, Dong
Wang, Youyi
[J]. IET CONTROL THEORY AND APPLICATIONS, 2013, 7 (03) : 354 - 362
[39] Further results on delay-dependent stability criteria of neural networks with time-varying delays
Li, Tao
Guo, Lei
Sun, Changyin
Lin, Chong
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2008, 19 (04): : 726 - 730
[40] Further results on state estimation for neural networks of neutral-type with time-varying delay
Park, Ju H.
Kwon, O. M.
[J]. APPLIED MATHEMATICS AND COMPUTATION, 2009, 208 (01) : 69 - 75

← 1 2 3 4 5 →