Dissipativity Results for Memristor-based Recurrent Neural Networks with Mixed Delays

被引：0

作者：

Zhong, Kai ^{[1
]}

Zhu, Song ^{[1
]}

Yang, Qiqi ^{[1
]}

机构：

[1] China Univ Min & Technol, Coll Sci, Xuzhou 221116, Peoples R China

来源：

2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2015年

关键词：

memristor-based recurrent neural networks; discrete delay; distributed delay; Lyapunov functional; GLOBAL EXPONENTIAL STABILITY; TIME-VARYING DELAYS; ROBUST DISSIPATIVITY; UNBOUNDED DELAYS; CIRCUIT; SYNCHRONIZATION; DISCRETE; SYSTEMS;

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 analyzes a class of memristor-based recurrent neural networks with mixed delays involving both discrete and distributed delays by constructing appropriate Lyapunov functionals and using some analytic techniques. Two new adequacy criteria concerning the dissipativity of the addressed neural networks are obtained. Finally, a numerical example is discussed in detail to substantiate our theoretical results.

引用

页码：406 / 411

页数：6

共 23 条

[1] On the global dissipativity of dynamical neural networks with time delays
Arik, S
[J]. PHYSICS LETTERS A, 2004, 326 (1-2) : 126 - 132
[2] MEMRISTOR - MISSING CIRCUIT ELEMENT
CHUA, LO
[J]. IEEE TRANSACTIONS ON CIRCUIT THEORY, 1971, CT18 (05): : 507 - +
[3] Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays
Guo, Zhenyuan
Wang, Jun
Yan, Zheng
[J]. NEURAL NETWORKS, 2013, 48 : 158 - 172
[4] Neural Synaptic Weighting With a Pulse-Based Memristor Circuit
Kim, Hyongsuk
Sah, Maheshwar Pd.
Yang, Changju
Roska, Tamas
Chua, Leon O.
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2012, 59 (01) : 148 - 158
[5] Positive invariant and global exponential attractive sets of neural networks with time-varying delays
Liao, Xiaoxin
Luo, Qi
Zeng, Zhigang
[J]. NEUROCOMPUTING, 2008, 71 (4-6) : 513 - 518
[6] Global robust dissipativity for integro-differential systems modeling neural networks with delays
Lou, Xu Yang
Cui, Bao Tong
[J]. CHAOS SOLITONS & FRACTALS, 2008, 36 (02) : 469 - 478
[7] Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances
Luo, Weiwei
Zhong, Kai
Zhu, Song
Shen, Yi
[J]. NEURAL NETWORKS, 2014, 53 : 127 - 133
[8] Global exponential stability of cellular neural networks with variable delays
Park, Ju H.
[J]. APPLIED MATHEMATICS AND COMPUTATION, 2006, 183 (02) : 1214 - 1219
[9] Quantized robust H control of discrete-time systems with random communication delays
Rasool, Faiz
Nguang, Sing Kiong
[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2011, 42 (01) : 129 - 138
[10] GENERAL SPICE MODELS FOR MEMRISTOR AND APPLICATION TO CIRCUIT SIMULATION OF MEMRISTOR-BASED SYNAPSES AND MEMORY CELLS
Sharifi, Mohammad Javad
Banadaki, Yasser Mohammadi
[J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2010, 19 (02) : 407 - 424

← 1 2 3 →