Skip to main content

Advertisement

Log in

Finite-Time Synchronization for Coupled Heterogeneous Complex Networks via Differential Inequality Way

  • Published:
Neural Processing Letters Aims and scope Submit manuscript

Abstract

This paper considers the finite-time synchronization (FTS) for the drive-response (DR) coupled heterogeneous complex networks. By adopting differential inequality approach, two criteria on FTS for the networks are derived. Up to now, the FTS for DR complex networks (CNS) has been studied usually by adopting the finite-time stability theorems, Lyapunov functional way and linear matrix inequality. The results obtained have been independent of the initial values of systems. But, in this paper, without applying above approaches, the FTS criterias related to the initial values of the considered DR CNS are attained by adopting the differential inequality method. So, our study has important theoretical and practical significance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data Availability

All data included in this study are available upon request by contact with the corresponding author.

References

  1. Jin XZ, He YG, Wang D (2016) Adaptive finite-time synchronization of a class of pinned and adjustable complex networks. Nonlinear Dyn 85:1393–1403

    Article  MathSciNet  MATH  Google Scholar 

  2. Ali MS, Yogambigai J (2017) Finite-time robust stochastic synchronization of uncertain Markovian complex dynamical networks with mixed time-varying delays and reaction-diffusion terms via impulsive control. J Franklin Inst 354(5):2415–2436

    Article  MathSciNet  MATH  Google Scholar 

  3. Mei J, Jiang MH, Wu Z, Wang XH (2015) Periodically intermittent controlling for finite-time synchronization of complex dynamical networks. Nonlinear Dyn 79:295–305

    Article  MATH  Google Scholar 

  4. Ma Q, Wang Z, Lu JW (2012) Finite-time synchronization for complex dynamical networks with time-varying delays. Nonlinear Dyn 70:841–848

    Article  MathSciNet  MATH  Google Scholar 

  5. Jing TY, Chen FQ, Zhang XH (2016) Periodically intermittent control and sliding model control. Neurocomputing 199:178–184

    Article  Google Scholar 

  6. Zhang DY, Shen YJ, Mei J (2017) Finite-time synchronization of multi-layer nonlinear coupled complex networks via intermittent feedback control. Neurocomputing 225:129–138

    Article  Google Scholar 

  7. He SH, Wu YQ, Li YZ (2020) Finite-time synchronization of input delay complex networks via non-fragile controller. J Franklin Inst 357(16):11645–11667

    Article  MathSciNet  MATH  Google Scholar 

  8. Zhang WL, Yang XS, Yang SJ, Alsaedi A (2021) Finite-time and fixed-time bipartite synchronization of complex networks with signed graphs. Math Comput Simul 188:319–329

    Article  MathSciNet  MATH  Google Scholar 

  9. Chen TP (2022) New effective approach to quasi-synchronization of coupled heterogeneous complex networks. Neural Netw 145:139–143

    Article  MATH  Google Scholar 

  10. Semenov DM, Fradkov AL (2021) Adaptive synchronization in the complex heterogeneous networks of Hindmarsh–Roseneurons. Chaos Solitons Fractals 150:111170

    Article  MATH  Google Scholar 

  11. Wang ZX, Jiang GP, Yu WW, He WL, Cao JD, Xiao M (2017) Synchronization of coupled heterogeneous complex networks. J Franklin Inst 354:4102–4125

    Article  MathSciNet  MATH  Google Scholar 

  12. Ling G, Ge MF, Liu XH, Xiao GX, Fan QJ (2021) Stochastic quasi synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control. Neural Netw 139:223–236

    Article  MATH  Google Scholar 

  13. Ning D, Chen J, Jiang MY (2022) Pinning impulsive synchronization of two-layer heterogeneous delayed networks. Phys A 586:126461

    Article  MathSciNet  MATH  Google Scholar 

  14. Seyboth GS, Dimarogonas DV, Johansson KH, Fracsa P, Allgower F (2015) On robust synchronization of heterogeneous linear multi-agent systems with static couplings. Automatica 53:392–399

    Article  MathSciNet  MATH  Google Scholar 

  15. He W, Qian F, Lam J, Chen G, Han QL, Kurths J (2016) Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: error estimation, optimization and design. Automatica 62:249–262

    Article  MathSciNet  MATH  Google Scholar 

  16. Hu J, Liang J, Cao J (2014) Synchronization of hybird-coupled heterogeneous networks: pinning control and impulsive control schemes. J Franklin Inst 351(5):2600–2622

    Article  MathSciNet  MATH  Google Scholar 

  17. Lu W, Liu B, Chen T (2010) Cluster synchronization in networks of coupled nonidentical dynamical systems. Chaos 20(1):013120

    Article  MathSciNet  MATH  Google Scholar 

  18. Song Q, Cao J, Liu F (2010) Synchronization of complex dynamical networks with nonidentical nodes. Phys Lett A 374(4):544–551

    Article  MATH  Google Scholar 

  19. Zhao Y, Duan Z, Wen G, Chen G (2016) Distributed finite-time tracking of multiple non-identical second-order nonlinear systems with settling time estimation. Automatica 64:86–93

    Article  MathSciNet  MATH  Google Scholar 

  20. Wang L, Chen MZQ, Wang QG (2015) Bounded synchronization of a heterogeneous complex switched network. Automatica 56:19–24

    Article  MathSciNet  MATH  Google Scholar 

  21. Zhao J, Hill DJ (2012) Global bounded synchronization of general dynamical networks with nonidentical nodes. IEEE Trans Autom Control 57(10):2656–2662

    Article  MathSciNet  MATH  Google Scholar 

  22. He W, Du W, Qian F, Cao J (2013) Synchronization of heterogeneous dynamical networks. Neurocomputing 104:146–154

    Article  Google Scholar 

  23. Yang XS, Wu ZY, Cao JD (2013) Finite-time synchronization of complex networks with nonidentical discontinuous nodes. Nonlinear Dyn 73:2313–2327

    Article  MathSciNet  MATH  Google Scholar 

  24. Li Y, Kao YG, Wang CH, Xia HW (2020) Finite-time synchronization of delayed fractional-order heterogeneous complex networks. Neurocomputing 384:368–375

    Article  Google Scholar 

  25. Zhang WL, Yang SJ, Li CD, Li ZB (2019) Finite-time and fixed-time synchronization of complex networks with discontinuous nodes via quantized control. Neural Process Lett 50:2073–2086

    Article  Google Scholar 

  26. Muhammadhaji A, Abdurahman A, Jiang HJ (2017) Finite-time synchronization of complex dynamical networks with time-varying delays and nonidentical nodes. J Control Sci Eng, Article ID 5072308

  27. He JJ, Chen H, Ge MF, Ding TF, Wang LM, Liang CD (2021) Adaptive finite-time quantized synchronization of complex dynamical networks with quantized time-varying delayed couplings. Neurocomputing 431:90–99

    Article  Google Scholar 

  28. Tang XY, Yang ZY, Zhang J (2018) Adaptive finite-time mixed interlayer synchronization of two-layer complex networks with time-varying coupling delay. In: Advances in mathematical physics, Article ID, 7025404

  29. Yang YS, Cao JD (2010) Finite-time stochastic synchronization of complex networks. Appl Math Model 34(11):3631–3641

    Article  MathSciNet  MATH  Google Scholar 

  30. Zhang ZQ, Cao JD (2019) Novel finite-time synchronization criteria for inertial neural networks with time delays via integral inequality method. IEEE Trans Neural Netw Learn Syst 30(5):1476–1485

    Article  MathSciNet  Google Scholar 

  31. Zhang ZQ, Cao JD (2022) Finite-time synchronization for fuzzy inertial neural networks by maximum value approach. IEEE Trans Fuzzy Syst 30(5):1436–1446

    Article  Google Scholar 

  32. Zhang ZQ, Chen M, Li AL (2020) Further study on finite-time synchronization for delayed inertial neural networks via inequality skills. Neurocomputing 373:15–23

    Article  Google Scholar 

  33. Zhang ZQ, Zheng T, Yu SH (2019) Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills. Neurocomputing 356:60–68

    Article  Google Scholar 

  34. Yang Z, Zhang ZQ, Wang XL (2022) New finite-time synchronization conditions of delayed multinonidentical coupled complex dynamical network. Math Biosci Eng, 2023144

  35. Wang YQ, Lu JQ, Lou JG, Ding CD, Alsaadi FE, Hayat T (2018) Synchronization of heterogeneous partially coupled networks with heterogeneous impulses. Neural Process Lett 48:557–575

    Article  Google Scholar 

  36. Cheng Y (2022) Fully distributed event-triggered output synchronization of heterogeneous multi-agent systems over directed switching networks. J Franklin Inst 359(4):1706–1723

    Article  MathSciNet  MATH  Google Scholar 

  37. Cai SM, Hou MY (2021) Quasi-synchronization of fractional-order heterogeneous dynamical networks via aperiodic intermittent pinning control. Chaos, Solitons Fractals 146:110901

    Article  MathSciNet  MATH  Google Scholar 

  38. Ma YC, Tai YL (2020) Finite-time synchronization heterogeneous complex networks with time-varying delays. Appl Math 11(10):1000–1012

    Article  Google Scholar 

  39. Zhang WL, Li CD, He X, Li HF (2018) Finite-time synchronization of complex networks with non-identical nodes and impulsive disturbances. Modern Phys Lett 32(01):1850002

    Article  MathSciNet  Google Scholar 

  40. Zhang WL, Li CD, Huang TW, Huang JJ (2018) Fixed-time synchronization of complex networks with nonidentical nodes and stochastic noise perturbations. Phys A Stat Mech Appl 492:1531–1542

    Article  MathSciNet  MATH  Google Scholar 

Download references

Funding

Science and technology project of Jiangxi education department, China (No: GJJ212607; No: GJJ191116; No: GJJ202602); Key RD Project of Jiangxi Provincial Department of Science and Technology, China (20192BBEL50040)

Author information

Authors and Affiliations

Authors

Contributions

HL has written the whole paper firstly, ZZ revised paper and done the example.

Corresponding author

Correspondence to Zhengqiu Zhang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liao, H., Zhang, Z. Finite-Time Synchronization for Coupled Heterogeneous Complex Networks via Differential Inequality Way. Neural Process Lett 55, 7851–7868 (2023). https://doi.org/10.1007/s11063-023-11284-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11063-023-11284-3

Keywords

Navigation