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Dynamic behavior of a class of neutral-type neural networks with discontinuous activations and time-varying delays

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Abstract

This paper is concerned with a class of neutral-type neural networks with discontinuous activations and time-varying delays. Under the concept of Filippov solution, by applying the differential inclusions and the topological degree theory in set-valued analysis, we employ a novel argument to establish new results on the existence of the periodic solutions for the considered neural networks. After that, we derive some criteria on the uniqueness, global exponential stability of the considered neural networks and convergence of the corresponding autonomous case of the considered neural networks, in terms of nonsmooth analysis theory with Lyapunov-like approach. Without assuming the boundedness (or the growth condition) and monotonicity of the discontinuous neuron activation functions, the results obtained can also be valid. Our results extend previous works on the neutral-type neural networks to the discontinuous cases, some related results in the literature can be enriched and extended. Finally, two typical examples and the corresponding numerical simulations are provided to show the effectiveness and flexibility of the results derived in this paper.

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References

  1. Aubin JP, Cellina A (1984) Differential inclusions. Springer, Berlin

    Book  Google Scholar 

  2. Berman A, Plemmons RJ (1979) Nonnegative matrices in the mathematical science. Academic press, New York

    MATH  Google Scholar 

  3. Clarke FH (1983) Optimization and nonsmooth analysis. Wiley, New York

    MATH  Google Scholar 

  4. Cao JD, Wang J (2003) Global asymptotic stability of a general class of recurrent neural networks with time-varying delays. IEEE Trans Circ Syst I 50(1):34–44

    Article  MathSciNet  Google Scholar 

  5. Chen XF, Song QK (2010) Global exponential stability of the periodic solution of delayed Cohen-Grossberg neural networks with discontinuous activations. Neurocomputing 73:3097–3104

    Article  Google Scholar 

  6. Cai ZW, Huang LH, Guo ZY, Chen XY (2012) On the periodic dynamics of a class of time-varying delayed neural networks via differential inclusions. Neural Netw 33:97–113

    Article  Google Scholar 

  7. Duan L, Huang LH, Fang XW (2017) Finite-time synchronization for recurrent activations and time-varying delays. Chaos 27:013101

    Article  MathSciNet  Google Scholar 

  8. Filippov AF (1988) Mathematics and its applications (Soviet Series), Differential equations with discontinuous right-hand sides. Kluwer Academic Publishers, Boston

    Book  Google Scholar 

  9. Forti M, Nistri P, Papini D (2003) Global convergence of neural networks with discontinuous neuron activations. IEEE Trans Circ Syst I 50(11):1421–1435

    Article  MathSciNet  Google Scholar 

  10. Gui Z, Ge W, Yang X (2007) Periodic oscillation for a Hopfield neural networks with neutral delays. Phys Lett A 364:267–273

    Article  Google Scholar 

  11. Guo ZY, Huang LH (2009) Generalized Lyapunov method for discontinuous systems. Nonlinear Anal 71:3083–3092

    Article  MathSciNet  Google Scholar 

  12. Hale J (1977) Theory of functional differential equations. Springer, New York

    Book  Google Scholar 

  13. Huang YJ, Zhang HG, Wang ZS (2012) Dynamical stability analysis of multiple equilibrium points in time-varying delayed recurrent neural networks with discontinuous activation functions. Neurocomputing 91:21–28

    Article  Google Scholar 

  14. Komanovskii VB, Nosov VR (1986) Stability of functional differential equations. Academic Press, London

    Google Scholar 

  15. Kuang Y (1993) Delay differential equations with applications in population dynamical system. Academic Press, New York

    MATH  Google Scholar 

  16. Kong FC, Lu SP, Luo ZG Solitary wave and periodic wave solutions of generalized neutral-type neural networks with delays. Neural Processing Letters. https://doi.org/10.1007/s11063-017-9747-7

    Article  Google Scholar 

  17. Kong FC, Luo ZG Piecewise pseudo almost periodic solutions of generalized neutral-type neural networks with impulses and delays, Neural Processing Letters. https://doi.org/10.1007/s11063-017-9758-4

  18. Kong FC, Fang XW Pseudo almost periodic solutions of discrete-time neutral-type neural networks with delays, Applied Intelligence. https://doi.org/10.1007/s10489-018-1146-x

    Article  Google Scholar 

  19. Kong FC, Luo ZG (2018) Asymptotic behavior of bounded solutions to a system of neutral functional differential equations in critical case. Appl Math Lett 81:44–49

    Article  MathSciNet  Google Scholar 

  20. Lasalle JP (1976) The stability of dynamical system. SIAM, Philadelphia

    Book  Google Scholar 

  21. Lloyd NG (1978) Degree theory: Cambridge tracts in mathematics. Cambridge University press, Cambridge

    Google Scholar 

  22. Li Y, Lin ZH (1995) Periodic solutions of differential inclusions. Nonlinear Anal Theory Methods Appl 24 (5):631–641

    Article  MathSciNet  Google Scholar 

  23. Lu WL, Chen TP (2005) Dynamical behaviors of cohenCGrossberg neural networks with discontinuous activation functions. Neural Netw 18(3):231–242

    Article  MathSciNet  Google Scholar 

  24. Liu XY, Cao JD (2010) Robust state estimations for neural networks with discontinuous activations. IEEE Trans Syst Man Cybern Part B 40(6):1425–1437

    Article  Google Scholar 

  25. Liu XY, Chen TP, Cao JD, Lu WL (2011) Dissipativity and quasisynchronization for neural networks with discontinuous activations and parameter mismatches. Neural Netw 24:1013–1021

    Article  Google Scholar 

  26. Liu J, Liu XZ, Xie WC (2012) Global convergence of neural networks with mixed time-varying delays and discontinuous neuron activations. Inf Sci 183:92–105

    Article  MathSciNet  Google Scholar 

  27. Liu BW (2015) Pseudo almost periodic solutions for neutral type CNNs with continuously distributed leakage delays. Neurocomputing 148:445–454

    Article  Google Scholar 

  28. Mandal S, Majee NC (2011) Existence of periodic solutions for a class of Cohen-Grossberg type neural networks with neutral delays. Neurocomputing 74(6):1000–1007

    Article  Google Scholar 

  29. Nie XB, Cao JD (2012) Existence and global stability of equilibrium point for delayed competitive neural networks with discontinuous activation functions. Int J Syst Sci 43(3):459–474

    Article  MathSciNet  Google Scholar 

  30. Papini D, Taddei V (2005) Global exponential stability of the periodic solution of a delayed neural networks with discontinuous activations. Phys Lett A 343:117–128

    Article  Google Scholar 

  31. Wu HQ (2009) Stability analysis for periodic solution of neural networks with discontinuous neuron activations. Nonlinear Anal Real World Appl 10:1717–1729

    Article  MathSciNet  Google Scholar 

  32. Wang JF, Huang LH, Guo ZY (2009) Dynamical behaviors of delayed Hopfield neural networks with discontinuous activations. Appl Math Model 33:1793–1802

    Article  MathSciNet  Google Scholar 

  33. Wang K, Zhu YL (2010) Stability of almost periodic solution for a generalized neutral-type neural networks with delays. Neurocomputing 73(16):3300–3307

    Article  Google Scholar 

  34. Xiao B (2009) Existence and uniqueness of almost periodic solutions for a class of Hopfield neural networks with neutral delays. Appl Math Lett 22:528–533

    Article  MathSciNet  Google Scholar 

  35. Yu YH (2016) Global exponential convergence for a class of HCNNs with neutral time-proportional delays. Appl Math Comput 285:1–7

    MathSciNet  Google Scholar 

  36. Yao LG (2017) Global exponential convergence of neutral type shunting inhibitory cellular neural networks with D operator. Neural Process Lett 45(2):401–409

    Article  Google Scholar 

  37. Zhao CH, Wang ZY (2015) Exponential convergence of a SICNN with leakage delays and continuously distributed delays of neutral type. Neural Process Lett 41:239–247

    Article  Google Scholar 

Download references

Acknowledgments

We would like to thank the editors and the anonymous reviewers for carefully reading the original manuscript and for the constructive comments and suggestions to improve the presentation of this paper. The research was supported by the National Natural Science Foundation of China (61572035).

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Correspondence to Fanchao Kong.

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Kong, F., Fang, X. & Liang, Z. Dynamic behavior of a class of neutral-type neural networks with discontinuous activations and time-varying delays. Appl Intell 48, 4834–4854 (2018). https://doi.org/10.1007/s10489-018-1240-0

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