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Finite-Time Function Projective Synchronization in Complex Multi-links Networks with Time-Varying Delay

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Abstract

This paper investigates the problem of finite-time function projective synchronization in complex multi-links networks with time-varying delay. A nonlinear feedback controller is designed to achieve finite-time function projective synchronization. Some novel and useful finite-time function projective synchronization criteria are derived based on finite-time stability theory. And another controller is designed to ensure function projective synchronization of complex multi-links networks with time-varying delay. Finally, illustrative examples are given to show the feasibility of the proposed method.

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References

  1. Watts D, Strogatz S (1998) Collective dynamics of small world networks. Nature 393:440–442

    Article  Google Scholar 

  2. Barabási A, Albert R (1999) Emergence of scaling in random networks. Science 286:509–512

    Article  MathSciNet  Google Scholar 

  3. Peng H, Wei N, Li Li, Xie W, Yang Y (2010) Models and synchronization of time-delayed complex dynamical networks with multi-links based on adaptive control. Phys Lett A 374:2335–2339

    Article  MATH  Google Scholar 

  4. Wang W, Li L, Peng H, Yuan J, Xiao J, Yang Y (2013) Adaptive synchronization of complex dynamical multi-links networks with similar nodes. Math Probl Eng 124:263–267. doi:10.1155/2013/736585

    MathSciNet  Google Scholar 

  5. Li L, Kurths J, Peng H, Yang Y, Luo Q (2013) Exponentially asymptotic synchronization of uncertain complex time-delay dynamical networks. Eur Phys J B 86:125–134

    Article  MathSciNet  Google Scholar 

  6. Arenas A, Díaz-Guilera A, Kurths J, Moreno Y, Zhou C (2008) Synchronization in complex networks. Phys Rep 469:93–153

    Article  MathSciNet  Google Scholar 

  7. Du H, Shi P, Lü N (2013) Function projective synchronization in complex dynamical networks with time delay via hybrid feedback control. Nonlinear Anal 14:1182–1190

    Article  MATH  Google Scholar 

  8. Zhong W, Cheng S (1999) Multiuser detection using time-varying scaling-parameter transiently chaotic neural networks. Electron Lett 35:987–989

    Article  Google Scholar 

  9. Wang L (1996) Suppressing chaos with hysteresis in a higher order neural network. IEEE Trans Circuit Syst II 43:845–846

    Article  Google Scholar 

  10. Wang L (1996) Oscillatory and chaotic dynamics in neural networks under varying operating conditions. IEEE Trans Neural Netw 7:1382–1388

    Article  Google Scholar 

  11. Calitoiu D, Oommen BJ, Nussbaum D (2007) Desynchronizing a chaotic pattern recognition neural network to model inaccurate perception. IEEE Trans Syst Man Cybern Part B 37:692–704

    Article  Google Scholar 

  12. Wang L, Pichler EE, Ross J (1990) Oscillations and chaos in neural networks: an exactly solvable model. Proc Natl Acad Sci 87:9467–9471

    Article  MATH  Google Scholar 

  13. Wang L, Liu W, Shi H, Zurada JM (2007) Cellular neural networks with transient chaos. IEEE Trans Circuits Syst II 54:440–444

    Article  Google Scholar 

  14. Mainieri R, Rehacek J (1999) Projective synchronization in the three dimensional chaotic systems. Phys Rev Lett 82:3042–3045

    Article  Google Scholar 

  15. Park JH (2008) Adaptive control for modified projective synchronization of a four-dimensional chaotic system with uncertain parameters. J Comput Appl Math 213:288–293

    Article  MATH  Google Scholar 

  16. Park JH (2007) Adaptive modified projective synchronization of a unified chaotic system with an uncertain parameter. Chaos Solitons Fractals 34:1552–1559

    Article  MATH  Google Scholar 

  17. Chen Y, Li X (2007) Function projective synchronization between two identical chaotic systems. Internat J Modern Phys C 18:883–888

    Article  MATH  Google Scholar 

  18. Du H, Zeng Q, Wang C, Ling M (2010) Function projective synchronization in coupled chaotic systems. Nonlinear Anal RWA 11:705–712

    Article  MATH  MathSciNet  Google Scholar 

  19. Wu X, Wang H, Lu H (2011) Hyperchaotic secure communication via generalized function projective synchronization. Nonlinear Anal RWA 12:1288–1299

    Article  MATH  MathSciNet  Google Scholar 

  20. Du H, Zeng Q, Wang C (2009) A general method for function projective synchronization. Int J Innov Comput Inf Control 5:2239–2248

    Google Scholar 

  21. Wu Z, Fu X (2010) Adaptive function projective synchronization of discrete chaotic systems with unknown parameters. Chin Phys Lett 27:050502–1–050502-3

    Article  Google Scholar 

  22. Du H, Li F, Meng G (2011) Robust function projective synchronization of two different chaotic systems with unknown parameters. J Franklin Inst 348:2782–2794

    Article  MATH  MathSciNet  Google Scholar 

  23. Park J (2009) Further results on functional projective synchronization of Genesio–Tesi chaotic system. Modern Phys Lett B 23:1889–1895

    Article  MATH  Google Scholar 

  24. Lee TH, Park JH (2009) Adaptive functional projective lag synchronization of hyperchoatic Rossler system. Chin Phys Lett 26:090507

    Article  Google Scholar 

  25. Zhang R, Yang Y, Xu Z, Hu M (2010) Function projective synchronization in drive-response dynamical network. Phys Lett A 374:3025–3028

    Article  MATH  Google Scholar 

  26. Yang X, Cao J (2010) Finite-time stochastic synchronization of complex networks. Appl Math Model 34:3631–3641

    Article  MATH  MathSciNet  Google Scholar 

  27. Wang H, Han Z, Xie Q, Zhang W (2009) Finite-time chaos control via nonsingular terminal sliding mode control. Commun Nonlinear Sci Numer Simul 14:2728–2733

    Article  MATH  MathSciNet  Google Scholar 

  28. Cai N, Li W, Jing Y (2011) Finite-time generalized synchronization of chaotic systems with differebt order. Nonlinear Dyn 64:385–393

    Article  MathSciNet  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  30. Chen M (2012) Finite-time projective synchronization between two different complex networks. ICCAIS, Saigon, pp 72–77

    Google Scholar 

  31. Yang X, Cao J (2010) Finite-time stochastic synchronization of complex networks. Appl Math Model 34:3631–3641

    Article  MATH  MathSciNet  Google Scholar 

  32. Zhu H, Huang L (2004) Dynamics of a class of nonlinear discrete-time neural networks. Comput Math Appl 48:85–94

    Article  MATH  MathSciNet  Google Scholar 

  33. Wang L (1998) On the dynamics of discrete-time, continuous-state Hopfield neural networks. IEEE Trans Circuit Syst II 45:747–749

    Article  Google Scholar 

  34. Wang L (1997) Discrete-time convergence theory and updating rules for neural networks with energy functions. IEEE Trans Neural Netw 8:445–447

    Article  Google Scholar 

  35. Zufiria PJ (2002) On the discrete-time dynamics of the basic Hebbian neural network node. IEEE Trans Neural Netw 13:1342–1352

    Article  Google Scholar 

Download references

Acknowledgments

This paper is supported by the National Natural Science Foundation of China (Grant Nos. 61100204, 61170269, 61121061), the China Postdoctoral Science Foundation Funded Project (Grant No. 2013M540070), the Beijing Higher Education Young Elite Teacher Project (Grant No. YETP0449), and the Asia Foresight Program under NSFC Grant (Grant No. 61161140320).

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Correspondence to Haipeng Peng.

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Wang, W., Peng, H., Li, L. et al. Finite-Time Function Projective Synchronization in Complex Multi-links Networks with Time-Varying Delay. Neural Process Lett 41, 71–88 (2015). https://doi.org/10.1007/s11063-013-9335-4

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