Skip to main content
Log in

Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

This paper investigates the delay-probability-distribution-dependent stability problem of uncertain stochastic genetic regulatory networks (SGRNs) with time-varying delays. The information of the probability distribution of the time-delay is considered and transformed into parameter matrices of the transferred SGRNs model. Based on the Lyapunov–Krasovskii functional and a stochastic analysis approach, a delay-probability-distribution-dependent sufficient condition is obtained in the linear matrix inequality (LMI) form such that delayed SGRNs are robustly globally asymptotically stable in the mean square for all admissible uncertainties. Three numerical examples are given to illustrate the effectiveness of our theoretical 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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. P. Balasubramaniam, R. Sathy, R. Rakkiyappan, A delay decomposition approach to fuzzy Markovian jumping genetic regulatory networks with time-varying delays. Fuzzy Sets Syst. 164, 82–100 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  2. P. Balasubramaniam, R. Rakkiyappan, R. Krishnasamy, Stochastic stability of Markovian jumping uncertain stochastic genetic regulatory networks with interval time-varying delays. Math. Biosci. 226, 97–108 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  3. A. Becskei, L. Serrano, Engineering stability in gene networks by autoregulation. Nature 405(6786), 590–593 (2000)

    Article  Google Scholar 

  4. H. Bolouri, E.H. Davidson, Modeling transcriptional regulatory networks. BioEssays 24, 1118–1129 (2002)

    Article  Google Scholar 

  5. S. Boyd, L.E.I. Chaoui, E. Feron et al., Linear Matrix Inequalities in System and Control Theory (SIAM, Philadelphia, 1994)

    Book  MATH  Google Scholar 

  6. L. Chen, K. Aihara, Stability of genetic regulatory networks with time delay. IEEE Trans. Circuits Syst. I 49, 602–608 (2002)

    Article  MathSciNet  Google Scholar 

  7. Z.S.H. Chen, L. Collins, N. Kasabov, Bayesian learning of space gene regulatory networks. Biosystems 87, 299–306 (2007)

    Article  Google Scholar 

  8. H. De Jong, Modeling and simulation of genetic regulatory systems: a literature review. J. Comput. Biol. 9, 67–103 (2002)

    Article  Google Scholar 

  9. M.B. Elowitz, S. Leibler, A synthetic oscillatory network of transcriptional regulators. Nature 403(6767), 335–338 (2000)

    Article  Google Scholar 

  10. J. Fu, H.-G. Zhang, T. Ma, Delay-probability-distribution-dependent robust stability analysis for stochastic neural networks with time-varying delay. Prog. Nat. Sci. 19, 1333–1340 (2009)

    Article  MathSciNet  Google Scholar 

  11. T. Gardner, C. Cantor, J. Collins, Construction of a genetic toggle switch in Escherichia coli. Nature 403(6767), 339–342 (2000)

    Article  Google Scholar 

  12. J. Hasty, D. McMillen, F. Isaacs, J.J. Collins, Computational studies of gene regulatory networks: in numero molecular biology. Nat. Rev. Genet. 2, 268–279 (2001)

    Article  Google Scholar 

  13. J. Hasty, J. Pradlines, M. Dolnik, J.J. Collins, Noise-based switches and amplifiers for gene expression. Proc. Natl. Acad. Sci. USA 97, 2075–2080 (2000)

    Article  Google Scholar 

  14. S. Kalir, S. Mangan, U. Alon, A coherent feed-forward loop with a SUM input function prolongs flagells expression in Escherichia coli. Mol. Syst. Biol. (2005). doi:10.1038/msb4100010

    Google Scholar 

  15. T. Kobayashi, L.N. Chen, K. Aihara, Modeling genetic switches with positive feedback loops. J. Theor. Biol. 221, 379–399 (2003)

    Article  MathSciNet  Google Scholar 

  16. H. Lahdesmaki, I. Shmulevich, O. Yli-Haraj, On learning gene regulatory networks under the Boolean network model. Mach. Learn. 52, 147–167 (2003)

    Article  Google Scholar 

  17. C. Li, L. Chen, K. Aihara, Synchronization of coupled nonidentical genetic oscillators. Phys. Biol. 3, 37–44 (2006)

    Article  Google Scholar 

  18. C. Li, L. Chen, K. Aihara, Stability of genetic networks with sum regulatory logic: Lur’s system and LMI approach. IEEE Trans. Circuits Syst. I 53, 2451–2458 (2006)

    Article  MathSciNet  Google Scholar 

  19. C. Li, L. Chen, K. Aihara, Stochastic stability of genetic networks with disturbance attenuation. IEEE Trans. Circuits Syst. I 54, 892–896 (2007)

    Article  Google Scholar 

  20. X. Lou, Q. Ye, B. Cui, Exponential stability of genetic regulatory networks with random delays. Neurocomputing 73, 759–769 (2010)

    Article  Google Scholar 

  21. Q. Meng, H. Jiang, Robust stochastic stability analysis of Markovian switching genetic regulatory networks with discrete and distributed delays. Neurocomputing 74, 362–368 (2010)

    Article  Google Scholar 

  22. R. Rakkiyappan, P. Balasubramaniam, Delay-probability-distribution-dependent stability of uncertain stochastic genetic regulatory networks with mixed time-varying delays: an LMI approach. Nonlinear Anal. Hybrid Syst. 4, 600–607 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  23. F. Ren, J. Cao, Asymptotic and robust stability of genetic regulatory networks with time-varying delays. Neurocomputing 71, 834–842 (2008)

    Article  Google Scholar 

  24. A. Ribeiro, R. Zhu, S.A. Kauffman et al., A general modeling strategy for gene regulatory networks with stochastic dynamics. J. Comput. Biol. 13, 1630–1639 (2006)

    Article  MathSciNet  Google Scholar 

  25. R. Sakthivel, R. Raja, S. Marshal Anthoni, Asymptotic stability of delayed stochastic genetic regulatory networks with impulses. Phys. Scr. 82, 055009 (2010)

    Article  Google Scholar 

  26. P. Smolen, D.A. Baxter, J.H. Byrne, Mathematical modeling of gene networks. Neuron 26, 567–580 (2000)

    Article  Google Scholar 

  27. T. Tian, K. Burragea, P.M. Burragea, M. Carlettib, Stochastic delay differential equations for genetic regulatory networks. J. Comput. Appl. Math. 205, 696–707 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  28. T.E. Turner, S. Schnell, K. Burrage, Stochastic approaches for modelling in vivo reactions. Comput. Biol. Chem. 28, 165–178 (2004)

    Article  MATH  Google Scholar 

  29. R. Wang, T. Zhou, Z. Jing, L. Chen, Modelling periodic oscillation of biological systems with multiple timescale networks. IEE Syst. Biol. 1, 71–84 (2004)

    Article  Google Scholar 

  30. Y. Wang, Z. Ma, J. Shen, Z. Liu, L. Chen, Periodic oscillation in delayed gene networks with SUM regulatory logic and small perturbations. Math. Biosci. 220, 34–44 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  31. Z. Wang, X. Liao, S. Guo, H. Wu, Mean square exponential stability of stochastic genetic regulatory networks with time-varying delays. Inf. Sci. 181, 792–811 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  32. Z. Wang, X. Liao, J. Mao, G. Liu, Robust stability of stochastic genetic regulatory networks with discrete and distributed delays. Soft Comput. 13, 1199–1208 (2009)

    Article  MATH  Google Scholar 

  33. Y. Wang, Z. Wang, On robust stability of stochastic genetic regulatory networks with time delays: a delay fractioning approach. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 40, 729–740 (2010)

    Article  Google Scholar 

  34. H. Wu, X. Liao, W. Feng, S. Guo, W. Zhang, Robust stability for uncertain genetic regulatory networks with interval time-varying delays. Inf. Sci. 180, 3532–3545 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  35. H. Wu, X. Liao, S. Guo, W. Feng, W. Wang, Stochastic stability for uncertain genetic regulatory networks with interval time-varying delays. Neurocomputing 72, 3263–3276 (2009)

    Article  Google Scholar 

  36. D. Yue, Y.J. Zhang, E.G. Tian, Delay-distribution-dependent exponential stability criteria for discrete-time recurrent neural networks with stochastic delay. IEEE Trans. Neural Netw. 19, 1299–1306 (2008)

    Article  Google Scholar 

  37. C.H. Yuh, H. Bolouri, E.H. Davidson, Genomic cis-regulatory logic: experimental and computational analysis of a sea urchin gene. Science 279, 1896–1902 (1998)

    Article  Google Scholar 

  38. W. Zhang, J. Fang, Y. Tang, New robust stability analysis for genetic regulatory networks with random discrete delays and distributed delays. Neurocomputing 74, 2344–2360 (2011)

    Article  Google Scholar 

  39. Y.J. Zhang, D. Yue, E.G. Tian, Robust delay-distribution-dependent stability of discrete-time stochastic neural networks with time-varying delay. Neurocomputing 72, 1265–1273 (2009)

    Article  Google Scholar 

Download references

Acknowledgements

The authors are very much thankful to referees for their valuable comments and suggestions for improving this manuscript.

The work of authors was supported by Department of Science and Technology, New Delhi India under the sanctioned No. SR/S4/MS:485/07.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Balasubramaniam.

Additional information

P. Balasubramaniam also working as a Visiting Professor, Institute of Mathematical Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia for six months since 12th September 2011.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rakkiyappan, R., Lakshmanan, S. & Balasubramaniam, P. Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays. Circuits Syst Signal Process 32, 1147–1177 (2013). https://doi.org/10.1007/s00034-013-9595-2

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-013-9595-2

Keywords

Navigation