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.
Similar content being viewed by others
References
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):204–213
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):593–605
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 119:178–189
Couzin ID, Krause J, Franks NR, Levin SA (2005) Effective leadership and decision-making in animal groups on the move. Nature 433(7025):513–516
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 245:124–132
Dimarogonas DV, Frazzoli E, Johansson KH (2011) Distributed event-triggered control for multi-agent systems. IEEE Trans Autom Control 57(5):1291–1297
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):1434–1448
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):121–141
Du Z, Kao Y, Zhao X (2019) An input delay approach to interval type-2 fuzzy exponential stabilization for nonlinear unreliable networked sampled-data control systems. IEEE Trans Syst Man Cybern Syst. https://doi.org/10.1109/TSMC.2019.2930473
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):2991–2998
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):3553–3561
Ioka E, Tsumoto K, Kitajima H (2019) Synchronous firing frequency dependence in unidirectional coupled neuronal networks with chemical synapses. Neurocomputing 350:202–211
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):4429–4438
Jia Q, Mwanandiye ES, Tang WKS (2020) Master-slave synchronization of delayed neural networks with time-varying control. IEEE Trans Neural Netw Learn Syst. https://doi.org/10.1109/TNNLS.2020.2996224
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):1969–1973
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):1354–1366
Lei X, Cai S, Jiang S, Liu Z (2017) Adaptive outer synchronization between two complex delayed dynamical networks via aperiodically intermittent pinning control. Neurocomputing 222:26–35
Li SE, Zheng Y, Li K, Wang L-Y, Zhang H (2017) Platoon control of connected vehicles from a networked control perspective: literature review, component modeling, and controller synthesis. IEEE Trans Veh Technol. https://doi.org/10.1109/TVT.2017.2723881
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):4104–4116
Liu X, Chen T (2015) Synchronization of complex networks via aperiodically intermittent pinning control. IEEE Trans Autom Control 60(12):3316–3321
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 75:22–31
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 86:131–143
Ma X-H, Wang J-A (2016) Pinning outer synchronization between two delayed complex networks with nonlinear coupling via adaptive periodically intermittent control. Neurocomputing 199:197–203
Mwanandiye ES, Wu B, Jia Q (2020) Synchronization of delayed dynamical networks with multi-links via intermittent pinning control. Neural Comput Appl 32:11277–11284
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):449–462
Song Q, Cao J (2010) On pinning synchronization of directed and undirected complex dynamical networks. IEEE Trans Circuits Syst I Regul Pap 57(3):672–680
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):284–296
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 118:321–331
Wang XF, Chen G (2002) Pinning control of scale-free dynamical networks. Phys A Stat Mech Its Appl 310(3–4):521–531
Wang Z, He H (2020) Asynchronous quasi-consensus of heterogeneous multiagent systems with nonuniform input delays. IEEE Trans Syst Man Cybern Syst 50(8):2815–2827
Wang Z, He H, Jiang G-P, Cao J (2019) Quasi-synchronization in heterogeneous harmonic oscillators with continuous and sampled coupling. IEEE Trans Syst Man Cybern Syst. https://doi.org/10.1109/TSMC.2019.2896022
Wei R, Cao J (2019) Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme. Cognit Neurodyn 13(5):489–502
Wu X, Nie Z (2017) Synchronization of two nonidentical complex dynamical networks via periodically intermittent pinning. IEEE Access 6:291–300
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
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):5483–5496
Yang X-S, Huang Y (2006) Complex dynamics in simple Hopfield neural networks. Chaos Interdiscip J Nonlinear Sci 16(3):033114
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of Interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Jia, Q., Bram, A.K. & Han, Z. Synchronization of drive-response networks with event-based pinning control. Neural Comput & Applic 33, 8649–8658 (2021). https://doi.org/10.1007/s00521-020-05619-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00521-020-05619-7