Skip to main content
Erschienen in: Neural Computing and Applications 14/2021

03.01.2021 | Original Article

Synchronization of drive-response networks with event-based pinning control

verfasst von: Qiang Jia, Andrew K. Bram, Zeyu Han

Erschienen in: Neural Computing and Applications | Ausgabe 14/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This work investigates the pinning synchronization problem of a drive-response network with nonlinear nodal dynamics under dynamic pinning strategy, where the control signal updates according to some well-designed triggering condition so as to reduce the control cost. By using a novel differential inequality, sufficient criteria are derived to guarantee synchronization, revealing the crucial role of the time average of the smallest eigenvalue of an augmented matrix in spite of the changeable pinning strength. Meanwhile, Zeno phenomenon is also successfully excluded. As applications, the main theorem is utilized to examine some specified dynamic pinning strategies, such as pinning control with periodic intermittency, switching pinned node set, and nonlinear pinning strength. An interesting finding is that drive-response synchronization is possible even when the underlying topology is disconnected. Finally, numerical examples on coupled Hopfield neural networks and networked nonlinear oscillators are given for demonstration purpose.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Adaldo A, Alderisio F, Liuzza D, Shi G, Dimarogonas DV, Di Bernardo M, Johansson KH (2015) Event-triggered pinning control of switching networks. IEEE Trans Control Netw Syst 2(2):204–213MathSciNetCrossRef Adaldo A, Alderisio F, Liuzza D, Shi G, Dimarogonas DV, Di Bernardo M, Johansson KH (2015) Event-triggered pinning control of switching networks. IEEE Trans Control Netw Syst 2(2):204–213MathSciNetCrossRef
2.
Zurück zum Zitat Cai S, Lei X, Liu Z (2016) Outer synchronization between two hybrid-coupled delayed dynamical networks via aperiodically adaptive intermittent pinning control. Complexity 21(S2):593–605MathSciNetCrossRef Cai S, Lei X, Liu Z (2016) Outer synchronization between two hybrid-coupled delayed dynamical networks via aperiodically adaptive intermittent pinning control. Complexity 21(S2):593–605MathSciNetCrossRef
3.
Zurück zum Zitat Cao Y, Wang S, Guo Z, Huang T, Wen S (2019) Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control. Neural Netw 119:178–189CrossRef Cao Y, Wang S, Guo Z, Huang T, Wen S (2019) Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control. Neural Netw 119:178–189CrossRef
4.
Zurück zum Zitat Couzin ID, Krause J, Franks NR, Levin SA (2005) Effective leadership and decision-making in animal groups on the move. Nature 433(7025):513–516CrossRef Couzin ID, Krause J, Franks NR, Levin SA (2005) Effective leadership and decision-making in animal groups on the move. Nature 433(7025):513–516CrossRef
5.
Zurück zum Zitat Dai H, Chen W, Jia J, Liu J, Zhang Z (2017) Exponential synchronization of complex dynamical networks with time-varying inner coupling via event-triggered communication. Neurocomputing 245:124–132CrossRef Dai H, Chen W, Jia J, Liu J, Zhang Z (2017) Exponential synchronization of complex dynamical networks with time-varying inner coupling via event-triggered communication. Neurocomputing 245:124–132CrossRef
6.
Zurück zum Zitat Dimarogonas DV, Frazzoli E, Johansson KH (2011) Distributed event-triggered control for multi-agent systems. IEEE Trans Autom Control 57(5):1291–1297MathSciNetCrossRef Dimarogonas DV, Frazzoli E, Johansson KH (2011) Distributed event-triggered control for multi-agent systems. IEEE Trans Autom Control 57(5):1291–1297MathSciNetCrossRef
7.
Zurück zum Zitat Du Z, Kao Y, Karimi HR, Zhao X (2019) Interval type-2 fuzzy sampled-data \(H_{\infty}\) control for nonlinear unreliable networked control systems. IEEE Trans Fuzzy Syst 28(7):1434–1448CrossRef Du Z, Kao Y, Karimi HR, Zhao X (2019) Interval type-2 fuzzy sampled-data \(H_{\infty}\) control for nonlinear unreliable networked control systems. IEEE Trans Fuzzy Syst 28(7):1434–1448CrossRef
8.
Zurück zum Zitat Du Z, Kao Y, Park JH (2020) New results for sampled-data control of interval type-2 fuzzy nonlinear systems. J Frankl Inst 357(1):121–141MathSciNetCrossRef Du Z, Kao Y, Park JH (2020) New results for sampled-data control of interval type-2 fuzzy nonlinear systems. J Frankl Inst 357(1):121–141MathSciNetCrossRef
10.
Zurück zum Zitat Fan C-X, Jiang G-P, Jiang F-H (2010) Synchronization between two complex dynamical networks using scalar signals under pinning control. IEEE Trans Circuits Syst I Regul Pap 57(11):2991–2998MathSciNetCrossRef Fan C-X, Jiang G-P, Jiang F-H (2010) Synchronization between two complex dynamical networks using scalar signals under pinning control. IEEE Trans Circuits Syst I Regul Pap 57(11):2991–2998MathSciNetCrossRef
11.
Zurück zum Zitat Han Z, Tang WKS, Jia Q (2020) Event-triggered synchronization for nonlinear multi-agent systems with sampled data. Reg Pap IEEE Trans Circuits Syst I 67(10):3553–3561MathSciNetCrossRef Han Z, Tang WKS, Jia Q (2020) Event-triggered synchronization for nonlinear multi-agent systems with sampled data. Reg Pap IEEE Trans Circuits Syst I 67(10):3553–3561MathSciNetCrossRef
12.
Zurück zum Zitat Ioka E, Tsumoto K, Kitajima H (2019) Synchronous firing frequency dependence in unidirectional coupled neuronal networks with chemical synapses. Neurocomputing 350:202–211CrossRef Ioka E, Tsumoto K, Kitajima H (2019) Synchronous firing frequency dependence in unidirectional coupled neuronal networks with chemical synapses. Neurocomputing 350:202–211CrossRef
13.
Zurück zum Zitat Jia Q, Han Z, Tang WKS (2019) Synchronization of multi-agent systems with time-varying control and delayed communications. IEEE Trans Circuits Syst I Regul Pap 66(11):4429–4438MathSciNetCrossRef Jia Q, Han Z, Tang WKS (2019) Synchronization of multi-agent systems with time-varying control and delayed communications. IEEE Trans Circuits Syst I Regul Pap 66(11):4429–4438MathSciNetCrossRef
15.
Zurück zum Zitat Jia Q, Tang WKS (2018) Consensus of multi-agents with event-based nonlinear coupling over time-varying digraphs. IEEE Trans Circuits Syst II Express Briefs 65(12):1969–1973CrossRef Jia Q, Tang WKS (2018) Consensus of multi-agents with event-based nonlinear coupling over time-varying digraphs. IEEE Trans Circuits Syst II Express Briefs 65(12):1969–1973CrossRef
16.
Zurück zum Zitat Lee TH, Wu Z-G, Park JH (2012) Synchronization of a complex dynamical network with coupling time-varying delays via sampled-data control. Appl Math Comput 219(3):1354–1366MathSciNetMATH Lee TH, Wu Z-G, Park JH (2012) Synchronization of a complex dynamical network with coupling time-varying delays via sampled-data control. Appl Math Comput 219(3):1354–1366MathSciNetMATH
17.
Zurück zum Zitat Lei X, Cai S, Jiang S, Liu Z (2017) Adaptive outer synchronization between two complex delayed dynamical networks via aperiodically intermittent pinning control. Neurocomputing 222:26–35CrossRef Lei X, Cai S, Jiang S, Liu Z (2017) Adaptive outer synchronization between two complex delayed dynamical networks via aperiodically intermittent pinning control. Neurocomputing 222:26–35CrossRef
19.
Zurück zum Zitat Li X, Zhang W, Fang J-A, Li H (2020) Event triggered exponential synchronization for complex-valued memristive neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 31(10):4104–4116MathSciNetCrossRef Li X, Zhang W, Fang J-A, Li H (2020) Event triggered exponential synchronization for complex-valued memristive neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 31(10):4104–4116MathSciNetCrossRef
20.
Zurück zum Zitat Liu X, Chen T (2015) Synchronization of complex networks via aperiodically intermittent pinning control. IEEE Trans Autom Control 60(12):3316–3321MathSciNetCrossRef Liu X, Chen T (2015) Synchronization of complex networks via aperiodically intermittent pinning control. IEEE Trans Autom Control 60(12):3316–3321MathSciNetCrossRef
21.
Zurück zum Zitat Lu W, Zheng R, Chen T (2016) Centralized and decentralized global outer-synchronization of asymmetric recurrent time-varying neural network by data-sampling. Neural Netw 75:22–31CrossRef Lu W, Zheng R, Chen T (2016) Centralized and decentralized global outer-synchronization of asymmetric recurrent time-varying neural network by data-sampling. Neural Netw 75:22–31CrossRef
22.
Zurück zum Zitat Luo S, Kim J, Parasuraman R, Bae JH, Matson ET, Min B-C (2019) Multi-robot rendezvous based on bearing-aided hierarchical tracking of network topology. Ad Hoc Netw 86:131–143CrossRef Luo S, Kim J, Parasuraman R, Bae JH, Matson ET, Min B-C (2019) Multi-robot rendezvous based on bearing-aided hierarchical tracking of network topology. Ad Hoc Netw 86:131–143CrossRef
23.
Zurück zum Zitat Ma X-H, Wang J-A (2016) Pinning outer synchronization between two delayed complex networks with nonlinear coupling via adaptive periodically intermittent control. Neurocomputing 199:197–203CrossRef Ma X-H, Wang J-A (2016) Pinning outer synchronization between two delayed complex networks with nonlinear coupling via adaptive periodically intermittent control. Neurocomputing 199:197–203CrossRef
24.
Zurück zum Zitat Mwanandiye ES, Wu B, Jia Q (2020) Synchronization of delayed dynamical networks with multi-links via intermittent pinning control. Neural Comput Appl 32:11277–11284CrossRef Mwanandiye ES, Wu B, Jia Q (2020) Synchronization of delayed dynamical networks with multi-links via intermittent pinning control. Neural Comput Appl 32:11277–11284CrossRef
25.
Zurück zum Zitat Rakkiyappan R, Dharani S (2017) Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with markovian jumping and mixed delays using multiple integral approach. Neural Comput Appl 28(3):449–462CrossRef Rakkiyappan R, Dharani S (2017) Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with markovian jumping and mixed delays using multiple integral approach. Neural Comput Appl 28(3):449–462CrossRef
26.
Zurück zum Zitat Song Q, Cao J (2010) On pinning synchronization of directed and undirected complex dynamical networks. IEEE Trans Circuits Syst I Regul Pap 57(3):672–680MathSciNetCrossRef Song Q, Cao J (2010) On pinning synchronization of directed and undirected complex dynamical networks. IEEE Trans Circuits Syst I Regul Pap 57(3):672–680MathSciNetCrossRef
27.
Zurück zum Zitat Sun Z, Huang N, Anderson BD, Duan Z (2020) Event-based multiagent consensus control: zeno-free triggering via \({L}^p\) signals. IEEE Trans Cybern 50(1):284–296CrossRef Sun Z, Huang N, Anderson BD, Duan Z (2020) Event-based multiagent consensus control: zeno-free triggering via \({L}^p\) signals. IEEE Trans Cybern 50(1):284–296CrossRef
28.
Zurück zum Zitat Wan X, Yang X, Tang R, Cheng Z, Fardoun HM, Alsaadi FE (2019) Exponential synchronization of semi-markovian coupled neural networks with mixed delays via tracker information and quantized output controller. Neural Netw 118:321–331CrossRef Wan X, Yang X, Tang R, Cheng Z, Fardoun HM, Alsaadi FE (2019) Exponential synchronization of semi-markovian coupled neural networks with mixed delays via tracker information and quantized output controller. Neural Netw 118:321–331CrossRef
29.
Zurück zum Zitat Wang XF, Chen G (2002) Pinning control of scale-free dynamical networks. Phys A Stat Mech Its Appl 310(3–4):521–531MathSciNetCrossRef Wang XF, Chen G (2002) Pinning control of scale-free dynamical networks. Phys A Stat Mech Its Appl 310(3–4):521–531MathSciNetCrossRef
30.
Zurück zum Zitat Wang Z, He H (2020) Asynchronous quasi-consensus of heterogeneous multiagent systems with nonuniform input delays. IEEE Trans Syst Man Cybern Syst 50(8):2815–2827CrossRef Wang Z, He H (2020) Asynchronous quasi-consensus of heterogeneous multiagent systems with nonuniform input delays. IEEE Trans Syst Man Cybern Syst 50(8):2815–2827CrossRef
32.
Zurück zum Zitat Wei R, Cao J (2019) Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme. Cognit Neurodyn 13(5):489–502CrossRef Wei R, Cao J (2019) Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme. Cognit Neurodyn 13(5):489–502CrossRef
33.
Zurück zum Zitat Wu X, Nie Z (2017) Synchronization of two nonidentical complex dynamical networks via periodically intermittent pinning. IEEE Access 6:291–300CrossRef Wu X, Nie Z (2017) Synchronization of two nonidentical complex dynamical networks via periodically intermittent pinning. IEEE Access 6:291–300CrossRef
34.
Zurück zum Zitat Xue C, Jiang N, Lv Y, Qiu K (2016) Secure key distribution based on dynamic chaos synchronization of cascaded semiconductor laser systems. IEEE Trans Commun 65(1):312–319 Xue C, Jiang N, Lv Y, Qiu K (2016) Secure key distribution based on dynamic chaos synchronization of cascaded semiconductor laser systems. IEEE Trans Commun 65(1):312–319
35.
Zurück zum Zitat Yang X, Liu Y, Cao J, Rutkowski L (2020) Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching. IEEE Trans Neural Netw Learn Syst 31(12):5483–5496MathSciNetCrossRef Yang X, Liu Y, Cao J, Rutkowski L (2020) Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching. IEEE Trans Neural Netw Learn Syst 31(12):5483–5496MathSciNetCrossRef
36.
Zurück zum Zitat Yang X-S, Huang Y (2006) Complex dynamics in simple Hopfield neural networks. Chaos Interdiscip J Nonlinear Sci 16(3):033114CrossRef Yang X-S, Huang Y (2006) Complex dynamics in simple Hopfield neural networks. Chaos Interdiscip J Nonlinear Sci 16(3):033114CrossRef
Metadaten
Titel
Synchronization of drive-response networks with event-based pinning control
verfasst von
Qiang Jia
Andrew K. Bram
Zeyu Han
Publikationsdatum
03.01.2021
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 14/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05619-7

Weitere Artikel der Ausgabe 14/2021

Neural Computing and Applications 14/2021 Zur Ausgabe

S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications

Application of RBF neural network optimal segmentation algorithm in credit rating

S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications

Neural network control system of cooperative robot based on genetic algorithms

Premium Partner