Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control

被引：166

作者：

Wen, Shiping ^{[1
]}

Zeng, Zhigang ^{[1
]}

Chen, Michael Z. Q. ^{[2
]}

Huang, Tingwen ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Guangdong HUST Ind Technol Res Inst, Guangdong Prov Key Lab Digital Mfg Equipment,Sch, Key Lab Image Proc & Intelligent Control,Educ Min, Wuhan 430074, Hubei, Peoples R China

[2] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China

[3] Texas A&M Univ Qatar, Doha 5825, Qatar

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2017年 / 28卷 / 10期

基金：

澳大利亚研究理事会; 中国国家自然科学基金;

关键词：

Event-triggered control; switched neural network; synchronization; GLOBAL EXPONENTIAL SYNCHRONIZATION; DEPENDENT ROBUST STABILITY; ADAPTIVE SYNCHRONIZATION; LAG SYNCHRONIZATION; MULTIAGENT SYSTEMS; TIME-DELAY; MODEL; IDENTIFICATION; STABILIZATION; DESIGN;

D O I：

10.1109/TNNLS.2016.2580609

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 addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.

引用

页码：2334 / 2343

页数：10

共 67 条

[11]

Garcia E, 2011, IEEE DECIS CONTR P, P1650, DOI 10.1109/CDC.2011.6160257

[12] An integral inequality in the stability problem of time-delay systems [J].

Gu, KQ .

PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2000, :2805-2810

[13] Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling [J].

Guo, Zhenyuan ;

Yang, Shaofu ;

Wang, Jun .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (06) :1300-1311

[14] Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks with Time Delays via Static or Dynamic Coupling [J].

Guo, Zhenyuan ;

Wang, Jun ;

Yan, Zheng .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 45 (02) :235-249

[15] Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays [J].

Guo, Zhenyuan ;

Wang, Jun ;

Yan, Zheng .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (04) :704-717

[16] A Recurrent Neural Network for Solving Bilevel Linear Programming Problem [J].

He, Xing ;

Li, Chuandong ;

Huang, Tingwen ;

Li, Chaojie ;

Huang, Junjian .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (04) :824-830

[17] Model-based periodic event-triggered control for linear systems [J].

Heemels, W. P. M. H. ;

Donkers, M. C. F. .

AUTOMATICA, 2013, 49 (03) :698-711

[18]

Hespanha J. P., 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), P2655, DOI 10.1109/CDC.1999.831330

[19] Event-triggered control design of linear networked systems with quantizations [J].

Hu, Songlin ;

Yue, Dong .

ISA TRANSACTIONS, 2012, 51 (01) :153-162

[20] Robust stability analysis of switched Hopfield neural networks with time-varying delay under uncertainty's [J].

Huang, H ;

Qu, YZ ;

Li, HX .

PHYSICS LETTERS A, 2005, 345 (4-6) :345-354

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