Nothing Special   »   [go: up one dir, main page]

Skip to main content
Log in

Aperiodically intermittent stochastic stabilization via discrete time or delay feedback control

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

Abstract

In this paper, we present stochastic intermittent stabilization based on the feedback of the discrete time or the delay time. By using the stochastic comparison principle, the Itô formula, and the Borel- Cantelli lemma, we obtain two sufficient criteria for stochastic intermittent stabilization. The established criteria show that an unstable system can be stabilized by means of a stochastic intermittent noise via a discrete time feedback if the duration time τ is bounded by τ*. Similarly, stabilization via delay time feedback is equally possible if the lag time τ is bounded by τ**. The upper bound τ* and τ** can be computed numerically by solving corresponding equation.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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. Khasminskii R. Stochastic Stability of Differential Equations. Alphen aan den Rijn: Sijthoff and Noordhoff, 1981

    MATH  Google Scholar 

  2. Boulanger C. Stabilization of a class of nonlinear stochastic systems. Nonlin Anal-Theor Methods Appl, 2000, 41: 277–286

    Article  MathSciNet  MATH  Google Scholar 

  3. Ma L F, Wang Z D, Han Q L, et al. Consensus control of stochastic multi-agent systems: a survey. Sci China Inf Sci, 2017, 60: 120201

    Article  MathSciNet  Google Scholar 

  4. Ma L F, Wang Z D, Liu Y R, et al. A note on guaranteed cost control for nonlinear stochastic systems with input saturation and mixed time-delays. Int J Robust Nonlin Control, 2017, 27: 4443–4456

    Article  MathSciNet  MATH  Google Scholar 

  5. Arnold L, Crauel H, Wihstutz V. Stabilization of linear systems by noise. SIAM J Control Opt, 1983, 21: 451–461

    Article  MathSciNet  MATH  Google Scholar 

  6. Mao X R. Stochastic stabilization and destabilization. Syst Control Lett, 1994, 23: 279–290

    Article  MathSciNet  MATH  Google Scholar 

  7. Appleby J A D, Mao X R, Rodkina A. Stabilization and destabilization of nonlinear differential equations by noise. IEEE Trans Automat Contr, 2008, 53: 683–691

    Article  MathSciNet  MATH  Google Scholar 

  8. Mao X R, Yin G G, Yuan C G. Stabilization and destabilization of hybrid systems of stochastic differential equations. Automatica, 2007, 43: 264–273

    Article  MathSciNet  MATH  Google Scholar 

  9. Appleby J A D, Mao X R. Stochastic stabilisation of functional differential equations. Syst Control Lett, 2005, 54: 1069–1081

    Article  MathSciNet  MATH  Google Scholar 

  10. Mao X R, Marion G, Renshaw E. Environmental Brownian noise suppresses explosions in population dynamics. Stochastic Processes Their Appl, 2002, 97: 95–110

    Article  MathSciNet  MATH  Google Scholar 

  11. Liu L, Shen Y. Noise suppresses explosive solutions of differential systems with coefficients satisfying the polynomial growth condition. Automatica, 2012, 48: 619–624

    Article  MathSciNet  MATH  Google Scholar 

  12. Wu F K, Hu S G. Suppression and stabilisation of noise. Int J Control, 2009, 82: 2150–2157

    Article  MathSciNet  MATH  Google Scholar 

  13. Cao J D, Li H X, Ho D W C. Synchronization criteria of Lur’e systems with time-delay feedback control. Chaos Solitons Fractals, 2005, 23: 1285–1298

    Article  MathSciNet  MATH  Google Scholar 

  14. Chen W M, Xu S Y, Zou Y. Stabilization of hybrid neutral stochastic differential delay equations by delay feedback control. Syst Control Lett, 2016, 88: 1–13

    Article  MathSciNet  MATH  Google Scholar 

  15. Liu X Y, Ho D W C, Cao J D, et al. Discontinuous observers design for finite-time consensus of multiagent systems with external disturbances. IEEE Trans Neural Netw Learn Syst, 2017, 28: 2826–2830

    Article  MathSciNet  Google Scholar 

  16. Mao X R, Lam J, Huang L R. Stabilisation of hybrid stochastic differential equations by delay feedback control. Syst Control Lett, 2008, 57: 927–935

    Article  MathSciNet  MATH  Google Scholar 

  17. Sun J T. Delay-dependent stability criteria for time-delay chaotic systems via time-delay feedback control. Chaos Solitons Fractals, 2004, 21: 143–150

    Article  MathSciNet  MATH  Google Scholar 

  18. Zhao H Y, Xie W. Hopf bifurcation for a small-world network model with parameters delay feedback control. Nonlin Dyn, 2011, 63: 345–357

    Article  MathSciNet  Google Scholar 

  19. Zhu Q X, Zhang Q Y. pth moment exponential stabilisation of hybrid stochastic differential equations by feedback controls based on discrete-time state observations with a time delay. IET Control Theor Appl, 2017, 11: 1992–2003

    Article  Google Scholar 

  20. Dong R, Mao X R. On pth moment stabilization of hybrid systems by discrete-time feedback control. Stochastic Anal Appl, 2017, 35: 803–822

    Article  MathSciNet  MATH  Google Scholar 

  21. Mao X R, Liu W, Hu L J, et al. Stabilization of hybrid stochastic differential equations by feedback control based on discrete-time state observations. Syst Control Lett, 2014, 73: 88–95

    Article  MathSciNet  MATH  Google Scholar 

  22. Song G F, Zheng B C, Luo Q, et al. Stabilisation of hybrid stochastic differential equations by feedback control based on discrete-time observations of state and mode. IET Control Theor Appl, 2017, 11: 301–307

    Article  MathSciNet  Google Scholar 

  23. Song G F, Lu Z Y, Zheng B C, et al. Almost sure stabilization of hybrid systems by feedback control based on discrete-time observations of mode and state. Sci China Inf Sci, 2018, 61: 070213

    Article  MathSciNet  Google Scholar 

  24. You S R, Liu W, Lu J Q, et al. Stabilization of hybrid systems by feedback control based on discrete-time state observations. SIAM J Control Opt, 2015, 53: 905–925

    Article  MathSciNet  MATH  Google Scholar 

  25. Guo Q, Mao X R, Yue R X. Almost sure exponential stability of stochastic differential delay equations. SIAM J Control Opt, 2016, 54: 1919–1933

    Article  MathSciNet  MATH  Google Scholar 

  26. Mao X R. Almost sure exponential stabilization by discrete-time stochastic feedback control. IEEE Trans Automat Contr, 2016, 61: 1619–1624

    Article  MathSciNet  MATH  Google Scholar 

  27. Chen W H, Zhong J C, Zheng W X. Delay-independent stabilization of a class of time-delay systems via periodically intermittent control. Automatica, 2016, 71: 89–97

    Article  MathSciNet  MATH  Google Scholar 

  28. Gan Q T. Exponential synchronization of stochastic fuzzy cellular neural networks with reaction-diffusion terms via periodically intermittent control. Neural Process Lett, 2013, 37: 393–410

    Article  Google Scholar 

  29. Gan Q T, Zhang H, Dong J. Exponential synchronization for reaction-diffusion neural networks with mixed timevarying delays via periodically intermittent control. Nonlin Anal-Model Contr, 2014, 19: 1–25

    Article  MATH  Google Scholar 

  30. Liu Y, Jiang H J. Exponential stability of genetic regulatory networks with mixed delays by periodically intermittent control. Neural Comput Applic, 2012, 21: 1263–1269

    Article  Google Scholar 

  31. Li N, Cao J D. Intermittent control on switched networks via !-matrix measure method. Nonlin Dyn, 2014, 77: 1363–1375

    Article  MathSciNet  MATH  Google Scholar 

  32. Li C D, Feng G, Liao X F. Stabilization of nonlinear systems via periodically intermittent control. IEEE Trans Circ Syst II, 2007, 54: 1019–1023

    Google Scholar 

  33. Mei J, Jiang M H, Wang B, et al. Exponential p-synchronization of non-autonomous cohen-grossberg neural networks with reaction-diffusion terms via periodically intermittent control. Neural Process Lett, 2014, 40: 103–126

    Article  Google Scholar 

  34. Wan Y, Cao J D. Distributed robust stabilization of linear multi-agent systems with intermittent control. J Franklin Institute, 2015, 352: 4515–4527

    Article  MathSciNet  MATH  Google Scholar 

  35. Yang S J, Li C D, Huang T W. Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control. Neural Netw, 2016, 75: 162–172

    Article  MATH  Google Scholar 

  36. Zhang G D, Shen Y. Exponential stabilization of memristor-based chaotic neural networks with time-varying delays via intermittent control. IEEE Trans Neural Netw Learn Syst, 2015, 26: 1431–1441

    Article  MathSciNet  Google Scholar 

  37. Zhang W, Li C D, Huang T W, et al. Exponential stability of inertial BAM neural networks with time-varying delay via periodically intermittent control. Neural Comput Applic, 2015, 26: 1781–1787

    Article  Google Scholar 

  38. Liu X W, Chen T P. Synchronization of linearly coupled networks with delays via aperiodically intermittent pinning control. IEEE Trans Neural Netw Learn Syst, 2015, 26: 2396–2407

    Article  MathSciNet  Google Scholar 

  39. Mao X R. Stochastic Differential Equations and Their Applications. Chichester: Horwood, 1997

    MATH  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61304070, 61773152), the Chinese Postdoctoral Science Foundation (Grant Nos. 2016M601698, 2017T100318), the Jiangsu Province Postdoctoral Science Foundation (Grant No. 1701078B), and the Project Funded by the Qing Lan Project of Jiangsu Province, China.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jinde Cao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, L., Perc, M. & Cao, J. Aperiodically intermittent stochastic stabilization via discrete time or delay feedback control. Sci. China Inf. Sci. 62, 72201 (2019). https://doi.org/10.1007/s11432-018-9600-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9600-3

Keywords

Navigation