Skip to main content
Log in

Halanay-type inequality with delayed impulses and its applications

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

In this study, some properties of a novel Halanay-type inequality that simultaneously contains impulses and delayed impulses are investigated. Two concepts with respect to average impulsive gain are proposed to describe hybrid impulsive strength and hybrid delayed impulsive strength. Then, using the obtained results, two stability criteria are derived for the linear systems with impulses and delayed impulses. It is found that the stability of impulsive systems is robust with respect to delayed impulses of which the magnitude strength is relatively small. Whereas, if the impulse strength is small, the time-delayed impulses can also promote the stability of unstable systems. Two numerical examples are employed to illustrate the efficiency of our results.

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.

Similar content being viewed by others

References

  1. Matsumoto T, Kobayashi H, Togawa Y. Spatial versus temporal stability issues in image processing neuro chips. IEEE Trans Neural Netw, 1992, 3: 540–569

    Article  Google Scholar 

  2. Bonnans, J F, Shapiro A. Nondegeneracy and quantitative stability of parameterized optimization problems with multiple solutions. SIAM J Opt, 1998, 8: 940–946

    Article  MathSciNet  MATH  Google Scholar 

  3. Li, Y Y, Li, B W, Liu Y, et al. Set stability and stabilization of switched boolean networks with state-based switching. IEEE Access, 2018, 6: 35624–35630

    Article  Google Scholar 

  4. Knochel R, Schunemann K. Noise and transfer properties of harmonically synchronized oscillators. IEEE Trans Microw Theor Tech, 1978, 26: 939–944

    Article  Google Scholar 

  5. Stack, J H, Whitney M, Rodems, S M, et al. A ubiquitin-based tagging system for controlled modulation of protein stability. Nat Biotechnol, 2000, 18: 1298–1302

    Article  Google Scholar 

  6. Labovitz C, Malan, G R, Jahanian F. Origins of internet routing instability. In: Proceedings of the 18th Annual Joint Conference of the IEEE Computer and, Communications Societies, 1999. 218–226

    Google Scholar 

  7. Tang Y, Gao, H J, Zhang, W B, et al. Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed, impulses. Automatica, 2015, 53: 346–354

    Article  MathSciNet  MATH  Google Scholar 

  8. Li, Y Y, Lou, J G, Wang Z, et al. Synchronization of dynamical networks with nonlinearly coupling function under hybrid pinning impulsive controllers. J Franklin Institute, 2018, 355: 6520–6530

    Article  MathSciNet  MATH  Google Scholar 

  9. Yang, X S, Lu, J Q, Ho D W C, et al. Synchronization of uncertain hybrid switching and impulsive complex networks. Appl Math Model, 2018, 59: 379–392

    Article  MathSciNet  MATH  Google Scholar 

  10. Mayne, D Q, Rawlings, J B, Rao, C V, et al. Constrained model predictive control: stability and, optimality. Automatica, 2000, 36: 789–814

    Article  MathSciNet  MATH  Google Scholar 

  11. Cao, J D, Li R X. Fixed-time synchronization of delayed memristor-based recurrent neural networks. Sci China Inf Sci, 2017, 60: 032201

    Article  Google Scholar 

  12. Li Y Y. Impulsive synchronization of stochastic neural networks via controlling partial states. Neural Process Lett, 2017, 46: 59–69

    Article  Google Scholar 

  13. Yang, X S, Song Q, Cao, J D, et al. Synchronization of coupled markovian reaction-diffusion neural networks with proportional delays via quantized control. IEEE Trans Neural Netw Learn Syst, 2019, 30: 951–958

    Article  MathSciNet  Google Scholar 

  14. Halanay A. Differential Equations: Stability, Oscillations, Time Lags. Pittsburgh: Academic Press, 1966

    MATH  Google Scholar 

  15. Huang, Z K, Cao, J D, Raffoul Y N. Hilger-type impulsive differential inequality and its application to impulsive synchronization of delayed complex networks on time scales. Sci China Inf Sci, 2018, 61: 078201

    Article  MathSciNet  Google Scholar 

  16. Brezis H, Lieb E H. Sobolev inequalities with remainder terms. J Funct Anal, 1985, 62: 73–86

    Article  MathSciNet  MATH  Google Scholar 

  17. Frank, R L, Lieb, E H, Seiringer R. Hardy-Lieb-Thirring inequalities for fractional Schroedinger operators. J Amer Math Soc, 2008, 21: 925–950

    Article  MathSciNet  MATH  Google Scholar 

  18. Li, X D, Cao J D. An impulsive delay inequality involving unbounded time-varying delay and applications. IEEE Trans Automat Contr, 2017, 62: 3618–3625

    Article  MathSciNet  MATH  Google Scholar 

  19. Zhang, W B, Tang Y, Wong, W K, et al. Stochastic stability of delayed neural networks with local impulsive effects. IEEE Trans Neural Netw Learn Syst, 2015, 26: 2336–2345

    Article  MathSciNet  Google Scholar 

  20. Peng, S G, Deng F Q. New criteria on pth moment input-to-state stability of impulsive stochastic delayed differential systems. IEEE Trans Automat Contr, 2017, 62: 3573–3579

    Article  MATH  Google Scholar 

  21. Yang, R G, Wu B, Liu Y. A Halanay-type inequality approach to the stability analysis of discrete-time neural networks with delays. Appl Math Comput, 2015, 265: 696–707

    MathSciNet  MATH  Google Scholar 

  22. Hien, L V, Phat, V N, Trinh H. New generalized Halanay inequalities with applications to stability of nonlinear non-autonomous time-delay systems. Nonlin Dyn, 2015, 82: 563–575

    Article  MathSciNet  MATH  Google Scholar 

  23. Song, Y F, Shen Y, Yin Q. New discrete Halanay-type inequalities and applications. Appl Math Lett, 2013, 26: 258–263

    Article  MathSciNet  MATH  Google Scholar 

  24. He, B B, Zhou, H C, Chen, Y Q, et al. Asymptotical stability of fractional order systems with time delay via an integral inequality. IET Control Theor Appl, 2018, 12: 1748–1754

    Article  MathSciNet  Google Scholar 

  25. Li, X D, Wu J H. Sufficient stability conditions of nonlinear differential systems under impulsive control with state-dependent delay. IEEE Trans Automat Contr, 2018, 63: 306–311

    Article  MathSciNet  MATH  Google Scholar 

  26. Liu X Z. Stability of impulsive control systems with time delay. Math Comput Model, 2004, 39: 511–519

    Article  MathSciNet  MATH  Google Scholar 

  27. Li, H F, Li, C D, Huang, T W, et al. Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks. Neural Netw, 2018, 98: 203–211

    Article  MATH  Google Scholar 

  28. Aouiti C, Assali, E A, Cao, J D, et al. Stability analysis for a class of impulsive competitive neural networks with leakage time-varying delays. Sci China Technol Sci, 2018, 61: 1384–1403

    Article  Google Scholar 

  29. Li, X D, Ho D W C, Cao J D. Finite-time stability and settling-time estimation of nonlinear impulsive, systems. Automatica, 2019, 99: 361–368

    Article  MathSciNet  MATH  Google Scholar 

  30. Yang, Z C, Xu D Y. Stability analysis and design of impulsive control systems with time delay. IEEE Trans Automat Contr, 2007, 52: 1448–1454

    Article  MathSciNet  MATH  Google Scholar 

  31. Wu, Q J, Zhou J, Xiang L. Impulses-induced exponential stability in recurrent delayed neural, networks. Neurocomputing, 2011, 74: 3204–3211

    Article  Google Scholar 

  32. Yang, X S, Yang Z C. Synchronization of TS fuzzy complex dynamical networks with time-varying impulsive delays and stochastic effects. Fuzzy Sets Syst, 2014, 235: 25–43

    Article  MathSciNet  MATH  Google Scholar 

  33. Zhang L, Yang, X S, Xu C, et al. Exponential synchronization of complex-valued complex networks with time-varying delays and stochastic perturbations via time-delayed impulsive control. Appl Math Comput, 2017, 306: 22–30

    MathSciNet  MATH  Google Scholar 

  34. Li, X D, Song S J. Stabilization of delay systems: delay-dependent impulsive control. IEEE Trans Automat Contr, 2017, 62: 406–411

    Article  MathSciNet  MATH  Google Scholar 

  35. Yang, H L, Wang X, Zhong, S M, et al. Synchronization of nonlinear complex dynamical systems via delayed impulsive distributed control. Appl Math Comput, 2018, 320: 75–85

    MathSciNet  MATH  Google Scholar 

  36. Lu, J Q, Ho D, W C, Cao J D. A unified synchronization criterion for impulsive dynamical, networks. Automatica, 2010, 46: 1215–1221

    Article  MathSciNet  MATH  Google Scholar 

  37. Wang N, Li, X C, Lu, J Q, et al. Unified synchronization criteria in an array of coupled neural networks with hybrid impulses. Neural Netw, 2018, 101: 25–32

    Article  MATH  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61573102), Natural Science Foundation of Jiangsu Province (Grant No. BK20170019), Jiangsu Provincial Key Laboratory of Networked Collective Intelligence (Grant No. BM2017002), and Graduate Research and Innovation Program of Jiangsu Province (Grant No. KYCX18_0052).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianquan Lu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., Lu, J. & Lou, Y. Halanay-type inequality with delayed impulses and its applications. Sci. China Inf. Sci. 62, 192206 (2019). https://doi.org/10.1007/s11432-018-9809-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9809-y

Keywords

Navigation