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时滞基因调控网络的全局渐进稳定性分析 被引量:4

Further analysis on global asymptotical stability of genetic regulatory networks with time delays
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摘要 针对一类时滞基因调控网络的全局渐进稳定性进行了研究,利用Lyapunov泛函、线性矩阵不等式(LMIs)和自由权值矩阵(free-weighting matrices)技术,得到了一些新的时滞相关的基因调控网络稳定性充分条件。通过在Lyapunov泛函中使用辅助矩阵E,并对调控函数条件一般化,取得的结果具有较少的保守型和更广的适用性。该结果为人工设计基因芯片提供一定的参考作用。仿真示例进一步验证了结论的有效性。 The global asymptotical stability analysis for genetic regulatory networks with time delays is concerned. By using Lyapunov functional theorem, employing some free-weighting matrices, this paper presented some new delay-dependent stability criteria in terms of linear matrix inequalities (LMIs) to guarantee the delayed genetic regulatory networks to be asymptotically stable. By using the auxiliary matrix E and defining a more general regulatory function, it obtained the less conservative stability criterion which had more wider application range. The results can provide some reference for the design of gene chip. Experimental results demonstrate the usefulness of the main results and less conservativeness of the proposed method.
出处 《计算机应用研究》 CSCD 北大核心 2014年第1期59-62,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(61170249 61103211) 重庆市青年骨干教师计划资助项目(2011)
关键词 全局渐进稳定性 基因调控网络 时滞 线性矩阵不等式 global asymptotical stability genetic regulatory networks time delays LMIs
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  • 1SMOLEN P, BAXTER D A, BYRNE J H. Modeling circadian oscilla- tions with interlocking positive and negative feedback loops[ J]. dour- nal of Neuroscience,2001,21 (17) :6644-6656.
  • 2LI Chun-guang, CHEN Luo-nan, AIHARA K. Stochastic stability of genetic networks with disturbance attenuation [ J]. IEEE Trans on Circuits Systems Ⅱ ,2007,54(10) :892-896.
  • 3CAO Jin-de, REN Feng-li. Exponential stability of discrete-time genet- ic regulatory networks with delays[ J]. IEEE Trans on Neural Net- works, 2008,19 ( 3 ) : 520- 523.
  • 4CHESI G, HUNG Y S. Stability analysis of uncertain genetic sum regulatory networks[J]. Automatica,2008,44(9) :2298-2305.
  • 5HE Wang-li, CAO Jin-de. Robust stability of genetic regulatory net- works with distributed delay [ J ]. Cognitive Neurodynamics,2008,2 (4) :355-361.
  • 6LI Chun-guang, CHEN Luo-nan, AIHAR K A. Stability of genetic net- works with SUM regulatory logic: Lur' e system and LMI approach [ J ]. IEEE Trans on Circuits Systems I, 2006,53 ( 11 ) : 2451- 2458.
  • 7REN Feng-li, CAO Jin-de. Asymptotic and robust stability of genetic regulatory networks with time-varying delays [ J ]. Nourocomputing, 2008,71 (4-6) :834-842.
  • 8WANG Zi-dong,GAO Hui-jun,CAO Jin-de,et al. On delayed genetic regulatory networks with polytopic uncertainties: robust stability analysis[ J]. IEEE Trans on Nano Bioscience, 2008,7 ( 2 ) : 154- 163.
  • 9WANG Zheng-xia, LIAO Xiao-feng, GUO Song-tao, et al. Stability analysis of genetic regulatory netwprk with time delays and parameter uncertainties [ J ]. IET Control Theory Applications, 2010,4 ( 10 ) : 2018 - 2028.
  • 10YAN Rui-xia,LIU Jin-liang. New results on asymptotic and robust sta- bility of genetic regulatory networks with time-varying delays [ J ]. In- ternational Journal of Innovative Computing, Information and Control,2012,8(4) :2889-2900.

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  • 2Flandrin P, Rilling G, Gonealves P. EMD Equivalent Filter Banks, from Interpretation to Applications [J]. World Scientific ,2005, ( 12 ) :67-87.
  • 3Gan Yu, Sui Lifen, Wu Jiangfei, et al. An EMD Threshold De-noising Method for Inertial Sensors [ J ]. Measurement, 2014,49 : 34 -41.
  • 4Huang N E,Shen Z,Long S R,et al. The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis [J]. Proceedings of the Royal Society of London, Series A: Mathematical, Physical and Engineering Science, 1998, 454 ( 1971 ) : 903 -995.
  • 5Donoho D L, Johnstone J M. Ideal Spatial Adaptation by Wavelet Shrinkage [ J ], Biometrika, 1994,81 (3) :425-455.
  • 6Donoho D L, Johnstone I M. Adapting to Unknown Smoothness via Wavelet Shrinkage [ J ]. Journal of the American Statistical Association, 1995, 90 ( 432 ) : 1200-1224.
  • 7Donoho D L. De-noising by Soft-thresholding[ J ]. IEEE Transactions on Information Theory, 1995,41 (3) :613-627.
  • 8Alon U,Barkai N,Notterman D A,et al. Broad Patterns of Gene Expression Revealed by Clustering Analysis of Tum- or and Normal Colon Tissues Probed by Oligonucleotide Arrays[J]. Proceedings of the National Academy of Scien- ces, 1999,96(12) :6745-6750.
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