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Stability of Variable-Time Impulsive Systems with Delays via Generalized Razumikhin Technique and Application to Impulsive Neural Networks

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Abstract

This paper investigates the stability of variable-time impulsive systems with time delays. A novel stability result is obtained via the generalized Razumikhin technique. By viewing fixed-time impulsive systems as degenerative variable-time impulsive systems, a new stability result for fixed-time impulsive systems is also proposed. In order to demonstrate the effectiveness of the generalized Razumikhin technique, we give some comparison results with the existing stability criteria which are derived from the classical Razumikhin technique. Stability of impulsive neural networks and synchronization of complex networks are employed to indicate the effectiveness and the practicality of the theoretical results.

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References

  1. Lakshmikantham V, Bainov DD, Simeonov PS (1989) Theory of impulsive differential equations. World Scientific, Singapore

    Book  MATH  Google Scholar 

  2. Bainov DD, Simeonov PS (1993) Impulsive differential equations: periodic solutions and applications. Longman Scientific & Technical, Harlow

    MATH  Google Scholar 

  3. Yang T (2001) Impulsive control theory. Springer, Berlin

    MATH  Google Scholar 

  4. Fu X, Yan B, Liu Y (2005) An introduction to impulsive differential systems. Science Press, Beijing

    Google Scholar 

  5. Fu X, Yan B, Liu Y (2008) Nonlinear impulsive differential systems. Science Press, Beijing

    Google Scholar 

  6. Song X, Guo H, Shi X, Chen L (2011) The theory of impulsive differential equations and its applications. Science Press, Beijing

    Google Scholar 

  7. Akhmet M (2010) Principles of discontinuous dynamical systems. Springer, New York

    Book  MATH  Google Scholar 

  8. Yılmaz E (2014) Almost periodic solutions of impulsive neural networks at non-prescribed moments of time. Neurocomputing 141(4):148–152

    Article  Google Scholar 

  9. Şaylı M, Yılmaz E (2015) Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays. Neural Netw 68:1–11

    Article  Google Scholar 

  10. Şaylı M, Yılmaz E (2014) Global robust asymptotic stability of variable-time impulsive BAM neural networks. Neural Netw 60(C):67–73

    MATH  Google Scholar 

  11. Şaylı M, Yılmaz E (2016) State-dependent impulsive Cohen–Grossberg neural networks with time-varying delays. Neurocomputing 171(C):1375–1386

    Google Scholar 

  12. Liu C, Li C, Huang T, Li C (2013) Stability of Hopfield neural networks with time delays and variable-time impulses. Neural Comput Appl 22(1):195–202

    Article  Google Scholar 

  13. Liu C, Li C, Liao X (2011) Variable-time impulses in BAM neural networks with delays. Neurocomputing 74(17):3286–3295

    Article  Google Scholar 

  14. Liu C, Liu W, Yang Z, Liu X, Li C, Zhang G (2016) Stability of neural networks with delay and variable-time impulses. Neurocomputing 171(C):1644–1654

    Article  Google Scholar 

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

    Book  MATH  Google Scholar 

  16. Wang Q, Liu X (2005) Exponential stability for impulsive delay differential equations by Razumikhin method. J Math Anal Appl 309(2):462–473

    Article  MathSciNet  MATH  Google Scholar 

  17. Chen Z, Fu X (2007) New Razumikhin-type theorems on the stability for impulsive functional differential systems. Nonlinear Anal Theory Methods Appl 66(9):2040–2052

    Article  MathSciNet  MATH  Google Scholar 

  18. Li X, Fu X (2014) On the global exponential stability of impulsive functional differential equations with infinite delays or finite delays. Commun Nonlinear Sci Numer Simul 19(3):442–447

    Article  MathSciNet  Google Scholar 

  19. Liu B, Liu X, Teo KL, Wang Q (2006) Razumikhin-type theorems on exponential stability of impulsive delay systems. IMA J Appl Math 71(1):47–61

    Article  MathSciNet  MATH  Google Scholar 

  20. Fu X, Li X (2009) Razumikhin-type theorems on exponential stability of impulsive infinite delay differential systems. J Comput Appl Math 224(1):1–10

    Article  MathSciNet  MATH  Google Scholar 

  21. Zhang Y, Sun J (2008) Stability of impulsive functional differential equations. Nonlinear Anal Theory Methods Appl 68(12):3665–3678

    Article  MathSciNet  MATH  Google Scholar 

  22. Zhang Y, Sun J (2005) Strict stability of impulsive functional differential equations. J Math Anal Appl 301(1):237–248

    Article  MathSciNet  MATH  Google Scholar 

  23. Zeng X, Li C, Huang T, He X (2015) Stability analysis of complex-valued impulsive systems with time delay. Appl Math Comput 256(C):75–82

    MathSciNet  MATH  Google Scholar 

  24. Chen F, Wen X (2007) Asymptotic stability for impulsive functional differential equation. J Math Anal Appl 336(2):1149–1160

    Article  MathSciNet  MATH  Google Scholar 

  25. Wang H, Duan S, Li C, Wang L, Huang T (2016) Globally exponential stability of delayed impulsive functional differential systems with impulse time windows. Nonlinear Dyn 84(3):1655–1665

    Article  MathSciNet  MATH  Google Scholar 

  26. Li X, Caraballo T, Rakkiyappan R, Han X (2015) On the stability of impulsive functional differential equations with infinite delays. Dyn Syst Appl 38(22):3130–3140

    MathSciNet  MATH  Google Scholar 

  27. Wu Q, Zhou J, Xiang L (2010) Global exponential stability of impulsive differential equations with any time delays. Appl Math Lett 23(2):143–147

    Article  MathSciNet  MATH  Google Scholar 

  28. Wang Q, Liu X (2007) Impulsive stabilization of delay differential systems via the Lyapunov–Razumikhin method. Appl Math Lett 20(8):839–845

    Article  MathSciNet  MATH  Google Scholar 

  29. Peng S, Zhang Y (2010) Razumikhin-type theorems on pth moment exponential stability of impulsive stochastic delay differential equations. IEEE Trans Autom Control 55(8):1917–1922

    Article  MATH  Google Scholar 

  30. Zhou J, Wu Q (2009) Exponential stability of impulsive delayed linear differential equations. IEEE Trans Circuits Syst II Express Briefs 56(9):744–748

    Article  Google Scholar 

  31. Wang H, Duan S, Li C, Wang L, Huang T (2015) Stability of impulsive delayed linear differential systems with delayed impulses. J Frankl Inst 352(8):3044–3068

    Article  MathSciNet  Google Scholar 

  32. Li C, Shen YY, Feng G (2008) Stabilizing effects of impulses in delayed BAM neural networks. IEEE Trans Circuits Syst II Express Briefs 55(12):1284–1288

    Article  Google Scholar 

  33. Qi J, Li C, Huang T (2015) Stability of inertial BAM neural network with time-varying delay via impulsive control. Neurocomputing 161(C):162–167

    Article  Google Scholar 

  34. Duan S, Wang H, Wang L, Huang T, Li C (2017) Impulsive effects and stability analysis on memristive neural networks with variable delays. IEEE Trans Neural Netw Learn Syst 28(2):476–481

    Article  Google Scholar 

  35. Wang X, Yu J, Li C, Wang H, Huang T, Huang J (2015) Robust stability of stochastic fuzzy delayed neural networks with impulsive time window. Neural Netw 67(C):84–91

    Article  Google Scholar 

  36. Zhang W, Tang Y, Wong WK, Miao Q (2015) Stochastic stability of delayed neural networks with local impulsive effects. IEEE Trans Neural Netw Learn Syst 26(10):2336–2345

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

This project is supported by National Natural Science Foundation of China (Grant Nos. 61503052, 61503050, 61603065, 11647097 and 11547148), Research Foundation of the Natural Foundation of Chongqing City (Grant Nos. cstc2014jcyjA40024, cstc2014jcyjA40007, cstc2016jcyjA0076 and cstc2013jcyjA40019), Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant Nos. KJ1600928, KJ1501301, KJ1500918, KJ1500904, KJ1500926 and KJ1600923) and Young Fund of Humanities and Social Sciences of the Ministry of Education of China (Grant Nos. 16JDSZ2019, 16YJC870018, 16YJC860010 and 15YJC790061).

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Correspondence to Chao Liu.

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Liu, C., Sun, D. & Liu, X. Stability of Variable-Time Impulsive Systems with Delays via Generalized Razumikhin Technique and Application to Impulsive Neural Networks. Neural Process Lett 47, 641–659 (2018). https://doi.org/10.1007/s11063-017-9673-8

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