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 [J].

Arik, S .

PHYSICS LETTERS A, 2004, 326 (1-2) :126-132

[2] MEMRISTOR - MISSING CIRCUIT ELEMENT [J].

CHUA, LO .

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 [J].

Guo, Zhenyuan ;

Wang, Jun ;

Yan, Zheng .

NEURAL NETWORKS, 2013, 48 :158-172

[4] Neural Synaptic Weighting With a Pulse-Based Memristor Circuit [J].

Kim, Hyongsuk ;

Sah, Maheshwar Pd. ;

Yang, Changju ;

Roska, Tamas ;

Chua, Leon O. .

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 [J].

Liao, Xiaoxin ;

Luo, Qi ;

Zeng, Zhigang .

NEUROCOMPUTING, 2008, 71 (4-6) :513-518

[6] Global robust dissipativity for integro-differential systems modeling neural networks with delays [J].

Lou, Xu Yang ;

Cui, Bao Tong .

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 [J].

Luo, Weiwei ;

Zhong, Kai ;

Zhu, Song ;

Shen, Yi .

NEURAL NETWORKS, 2014, 53 :127-133

[8] Global exponential stability of cellular neural networks with variable delays [J].

Park, Ju H. .

APPLIED MATHEMATICS AND COMPUTATION, 2006, 183 (02) :1214-1219

[9] Quantized robust H control of discrete-time systems with random communication delays [J].

Rasool, Faiz ;

Nguang, Sing Kiong .

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 [J].

Sharifi, Mohammad Javad ;

Banadaki, Yasser Mohammadi .

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2010, 19 (02) :407-424

← 1 2 3 →