메뉴 건너뛰기




Volumn 38, Issue 12, 2011, Pages 15587-15593

Improved global robust exponential stability criteria for interval neural networks with time-varying delays

Author keywords

Global robust exponential stability; H matrix; Interval neural networks; Linear matrix inequality (LMI)

Indexed keywords

GLOBAL ROBUST EXPONENTIAL STABILITIES; H-MATRIX; INTERVAL NEURAL NETWORK; LINEAR MATRIX INEQUALITY (LMI); NUMERICAL EXAMPLE; SUFFICIENT CONDITIONS; THEORETIC ANALYSIS; TIME-VARYING DELAY;

EID: 80052024629     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.05.066     Document Type: Article
Times cited : (21)

References (23)
  • 1
    • 20444483673 scopus 로고    scopus 로고
    • Global robust stability analysis of neural networks with discrete time delays
    • S. Arik Global robust stability analysis of neural networks with discrete time delays Chaos, Solitons and Fractals 26 2005 1407 1414
    • (2005) Chaos, Solitons and Fractals , vol.26 , pp. 1407-1414
    • Arik, S.1
  • 2
    • 2442484035 scopus 로고    scopus 로고
    • Global exponentially robust stability and periodicity of delayed neural networks
    • J. Cao, and T. Chen Global exponentially robust stability and periodicity of delayed neural networks Chaos, Solitons and Fractals 22 2004 957 963
    • (2004) Chaos, Solitons and Fractals , vol.22 , pp. 957-963
    • Cao, J.1    Chen, T.2
  • 3
    • 3142672983 scopus 로고    scopus 로고
    • Global robust stability of delayed recurrent neural networks
    • J. Cao, D. Huang, and Y. Qu Global robust stability of delayed recurrent neural networks Chaos, Solitons and Fractals 23 2005 221 229
    • (2005) Chaos, Solitons and Fractals , vol.23 , pp. 221-229
    • Cao, J.1    Huang, D.2    Qu, Y.3
  • 4
    • 33644951682 scopus 로고    scopus 로고
    • Novel results concerning global robust stability of delayed neural networks
    • J. Cao, H. Li, and L. Han Novel results concerning global robust stability of delayed neural networks Nonlinear Analysis: Real World Applications 7 3 2006 458 469
    • (2006) Nonlinear Analysis: Real World Applications , vol.7 , Issue.3 , pp. 458-469
    • Cao, J.1    Li, H.2    Han, L.3
  • 5
    • 14644434391 scopus 로고    scopus 로고
    • Global asymptotic and robust stability of recurrent neural networks with time delays
    • J. Cao, and J. Wang Global asymptotic and robust stability of recurrent neural networks with time delays IEEE Transactions on Circuits and Systems I 52 2 2005 417 426
    • (2005) IEEE Transactions on Circuits and Systems i , vol.52 , Issue.2 , pp. 417-426
    • Cao, J.1    Wang, J.2
  • 6
    • 4644236344 scopus 로고    scopus 로고
    • Global robust stability of interval cellular neural networks with time-varying delays
    • A. Chen, J. Cao, and L. Huang Global robust stability of interval cellular neural networks with time-varying delays Chaos, Solitons and Fractals 23 2005 787 799
    • (2005) Chaos, Solitons and Fractals , vol.23 , pp. 787-799
    • Chen, A.1    Cao, J.2    Huang, L.3
  • 7
    • 77951204727 scopus 로고    scopus 로고
    • New results for robust stability of dynamical neural networks with discrete time delays
    • T. Ensari, and S. Arik New results for robust stability of dynamical neural networks with discrete time delays Expert Systems with Applications 37 8 2010 5925 5930
    • (2010) Expert Systems with Applications , vol.37 , Issue.8 , pp. 5925-5930
    • Ensari, T.1    Arik, S.2
  • 9
    • 0032165293 scopus 로고    scopus 로고
    • Robust stability for interval Hopfield neural networks with time delay
    • X. Liao, and J. Yu Robust stability for interval Hopfield neural networks with time delay IEEE Transactions on Neural Networks 9 1998 1042 1046
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 1042-1046
    • Liao, X.1    Yu, J.2
  • 10
    • 58349115400 scopus 로고    scopus 로고
    • Global stability analysis of interval neural networks with discrete and distributed delays of neutral type
    • L. Liu, Z. Han, and W. Li Global stability analysis of interval neural networks with discrete and distributed delays of neutral type Expert Systems with Applications 36 3 2009 7328 7331
    • (2009) Expert Systems with Applications , vol.36 , Issue.3 , pp. 7328-7331
    • Liu, L.1    Han, Z.2    Li, W.3
  • 11
    • 31344444201 scopus 로고    scopus 로고
    • Global robust stability analysis of neural networks with multiple time delays
    • N. Ozcan, and S. Arik Global robust stability analysis of neural networks with multiple time delays IEEE Transactions on Circuits and Systems I 53 1 2006 166 176
    • (2006) IEEE Transactions on Circuits and Systems i , vol.53 , Issue.1 , pp. 166-176
    • Ozcan, N.1    Arik, S.2
  • 12
    • 33749518051 scopus 로고    scopus 로고
    • An analysis of global robust stability of neural networks with discrete time delays
    • N. Ozcan, and S. Arik An analysis of global robust stability of neural networks with discrete time delays Physical Letters A 359 2006 445 450
    • (2006) Physical Letters A , vol.359 , pp. 445-450
    • Ozcan, N.1    Arik, S.2
  • 13
    • 34248636542 scopus 로고    scopus 로고
    • New sufficient conditions for global robust stability of delayed neural networks
    • H. Qi New sufficient conditions for global robust stability of delayed neural networks IEEE Transactions on Circuits and Systems I 54 5 2007 1131 1141
    • (2007) IEEE Transactions on Circuits and Systems i , vol.54 , Issue.5 , pp. 1131-1141
    • Qi, H.1
  • 14
    • 57949090903 scopus 로고    scopus 로고
    • A note on "global robust stability criteria for interval delayed neural networks via an LMI approach
    • J. Shao, and T. Huang A note on "Global robust stability criteria for interval delayed neural networks via an LMI approach" IEEE Transactions on Circuits and Systems II 55 11 2008 1198 1202
    • (2008) IEEE Transactions on Circuits and Systems II , vol.55 , Issue.11 , pp. 1198-1202
    • Shao, J.1    Huang, T.2
  • 16
    • 12544252350 scopus 로고    scopus 로고
    • Global robust stability of delayed neural networks: An LMI approach
    • V. Singh Global robust stability of delayed neural networks: An LMI approach IEEE Transactions on Circuits and Systems II 52 1 2005 33 36
    • (2005) IEEE Transactions on Circuits and Systems II , vol.52 , Issue.1 , pp. 33-36
    • Singh, V.1
  • 17
    • 33745816063 scopus 로고    scopus 로고
    • Improved global robust stability criterion for delayed neural networks
    • V. Singh Improved global robust stability criterion for delayed neural networks Chaos Solitons and Fractals 31 1 2007 224 229
    • (2007) Chaos Solitons and Fractals , vol.31 , Issue.1 , pp. 224-229
    • Singh, V.1
  • 18
    • 51249083984 scopus 로고    scopus 로고
    • A new criterion for global robust stability of interval delayed neural networks
    • V. Singh A new criterion for global robust stability of interval delayed neural networks Journal of Computational and Applied Mathematics 221 1 2008 219 225
    • (2008) Journal of Computational and Applied Mathematics , vol.221 , Issue.1 , pp. 219-225
    • Singh, V.1
  • 19
    • 0037314654 scopus 로고    scopus 로고
    • Global robust exponential stability of interval neural networks with delays
    • C. Sun, and C. Feng Global robust exponential stability of interval neural networks with delays Neural Processing Letters 17 2003 107 115
    • (2003) Neural Processing Letters , vol.17 , pp. 107-115
    • Sun, C.1    Feng, C.2
  • 20
    • 64049099834 scopus 로고    scopus 로고
    • Global exponential stability of delayed reaction diffusion neural networks with time-varying coefficients
    • R. Wu, and W. Zhang Global exponential stability of delayed reaction diffusion neural networks with time-varying coefficients Expert Systems with Applications 36 6 2009 9834 9838
    • (2009) Expert Systems with Applications , vol.36 , Issue.6 , pp. 9834-9838
    • Wu, R.1    Zhang, W.2
  • 21
    • 63449105342 scopus 로고    scopus 로고
    • Novel results for global robust stability of delayed neural networks
    • E. Yucel, and S. Arik Novel results for global robust stability of delayed neural networks Chaos, Solitons and Fractals 39 4 2009 1604 1614
    • (2009) Chaos, Solitons and Fractals , vol.39 , Issue.4 , pp. 1604-1614
    • Yucel, E.1    Arik, S.2
  • 22
    • 33745660300 scopus 로고    scopus 로고
    • Global exponential stability of interval neural networks with variable delays
    • J. Zhang Global exponential stability of interval neural networks with variable delays Applied Mathematics Letters 19 2006 1222 1227
    • (2006) Applied Mathematics Letters , vol.19 , pp. 1222-1227
    • Zhang, J.1
  • 23
    • 34547907802 scopus 로고    scopus 로고
    • Robust exponential stability of recurrent neural networks with multiple time-varying delays
    • H. Zhang, Z. Wang, and D. Liu Robust exponential stability of recurrent neural networks with multiple time-varying delays IEEE Transactions on Circuits and Systems II 54 8 2007 730 734
    • (2007) IEEE Transactions on Circuits and Systems II , vol.54 , Issue.8 , pp. 730-734
    • Zhang, H.1    Wang, Z.2    Liu, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.