메뉴 건너뛰기




Volumn 71, Issue 1-3, 2007, Pages 428-438

Corrigendum to "Exponential state estimation for recurrent neural networks with distributed delays" [Neurocomputing 71(1-3) (2007) 428-438] (DOI:10.1016/j.neucom.2007.07.005);Exponential state estimation for recurrent neural networks with distributed delays

Author keywords

Distributed delay; Exponential stability; Linear matrix inequality; Recurrent neural networks; State estimator; Corrigendum; Neurocomputing 71(1 3) (2007) 428 438

Indexed keywords

ASYMPTOTIC STABILITY; ERROR ANALYSIS; LINEAR MATRIX INEQUALITIES; STATE ESTIMATION; TIME VARYING SYSTEMS;

EID: 35648996356     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.01.002     Document Type: Erratum
Times cited : (39)

References (17)
  • 1
    • 1642287604 scopus 로고    scopus 로고
    • Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays
    • Cao J.D., and Wang J. Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays. Neural Networks 17 (2004) 920-931
    • (2004) Neural Networks , vol.17 , pp. 920-931
    • Cao, J.D.1    Wang, J.2
  • 2
    • 14644434391 scopus 로고    scopus 로고
    • Global exponential stability and periodicity of recurrent neural networks with time delays
    • Cao J.D., and Wang J. Global exponential stability and periodicity of recurrent neural networks with time delays. IEEE Trans. Circuits Syst. I Regular Papers 52 2 (2005) 417-426
    • (2005) IEEE Trans. Circuits Syst. I Regular Papers , vol.52 , Issue.2 , pp. 417-426
    • Cao, J.D.1    Wang, J.2
  • 3
    • 14644434391 scopus 로고    scopus 로고
    • Global asymptotic and robust stability of recurrent neural networks with time delays
    • Cao J.D., and Wang J. Global asymptotic and robust stability of recurrent neural networks with time delays. IEEE Trans. Circuits Syst. I Regular Papers 52 2 (2005) 379-390
    • (2005) IEEE Trans. Circuits Syst. I Regular Papers , vol.52 , Issue.2 , pp. 379-390
    • Cao, J.D.1    Wang, J.2
  • 4
    • 33947139816 scopus 로고    scopus 로고
    • Global asymptotical stability of recurrent neural networks with multiple discrete delays and distributed delays
    • Cao J.D., Yuan K., and Li H.X. Global asymptotical stability of recurrent neural networks with multiple discrete delays and distributed delays. IEEE Trans. Neural Networks 17 6 (2006) 1646-1651
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.6 , pp. 1646-1651
    • Cao, J.D.1    Yuan, K.2    Li, H.X.3
  • 5
    • 34047141013 scopus 로고    scopus 로고
    • Delay-dependent exponential stability of neural networks with variable delay: an LMI approach
    • Chen W.H., and Lu X.M. Delay-dependent exponential stability of neural networks with variable delay: an LMI approach. IEEE Trans. Circuits Syst. II 53 (2006) 837-842
    • (2006) IEEE Trans. Circuits Syst. II , vol.53 , pp. 837-842
    • Chen, W.H.1    Lu, X.M.2
  • 6
    • 33746913856 scopus 로고    scopus 로고
    • Delay-dependent state estimation for delayed neural networks
    • He Y., Wang Q.G., Wu M., and Lin C. Delay-dependent state estimation for delayed neural networks. IEEE Trans. Neural Networks 17 4 (2006) 1077-1081
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.4 , pp. 1077-1081
    • He, Y.1    Wang, Q.G.2    Wu, M.3    Lin, C.4
  • 7
    • 33144454968 scopus 로고    scopus 로고
    • An improved global asymptotic stability criterion for delayed cellular neural networks
    • He Y., and Wu M. An improved global asymptotic stability criterion for delayed cellular neural networks. IEEE Trans. Neural Networks 17 (2006) 250-253
    • (2006) IEEE Trans. Neural Networks , vol.17 , pp. 250-253
    • He, Y.1    Wu, M.2
  • 8
    • 33746364170 scopus 로고    scopus 로고
    • Delay-dependent exponential stability of delayed neural networks with time-varying delay
    • He Y., and Wu M. Delay-dependent exponential stability of delayed neural networks with time-varying delay. IEEE Trans. Circuits Syst. 53 (2006) 553-556
    • (2006) IEEE Trans. Circuits Syst. , vol.53 , pp. 553-556
    • He, Y.1    Wu, M.2
  • 9
    • 33845581461 scopus 로고    scopus 로고
    • Exponential stability analysis of uncertain stochastic neural networks with multiple delays
    • Huang H., and Cao J.D. Exponential stability analysis of uncertain stochastic neural networks with multiple delays. Nonlinear Anal. 8 2 (2007) 646-653
    • (2007) Nonlinear Anal. , vol.8 , Issue.2 , pp. 646-653
    • Huang, H.1    Cao, J.D.2
  • 10
    • 33747352782 scopus 로고    scopus 로고
    • A new criterion for global robust stability of interval neural networks with discrete time delays
    • Li C.D., and Chen J.Y. A new criterion for global robust stability of interval neural networks with discrete time delays. Chaos, Solitions and Fractals 31 (2007) 561-570
    • (2007) Chaos, Solitions and Fractals , vol.31 , pp. 561-570
    • Li, C.D.1    Chen, J.Y.2
  • 11
    • 33947384097 scopus 로고    scopus 로고
    • Design of exponential state estimators for neural networks with mixed time delays
    • Liu Y.R., Wang Z.D., and Liu X.H. Design of exponential state estimators for neural networks with mixed time delays. Phys. Lett. A 364 5 (2007) 401-412
    • (2007) Phys. Lett. A , vol.364 , Issue.5 , pp. 401-412
    • Liu, Y.R.1    Wang, Z.D.2    Liu, X.H.3
  • 12
    • 33750292531 scopus 로고    scopus 로고
    • On the global robust asymptotic stability of BAM neural networks with time-varying delays
    • Lou X.Y., and Cui B.T. On the global robust asymptotic stability of BAM neural networks with time-varying delays. Neurocomputing 70 (2006) 273-279
    • (2006) Neurocomputing , vol.70 , pp. 273-279
    • Lou, X.Y.1    Cui, B.T.2
  • 13
    • 33745873486 scopus 로고    scopus 로고
    • New global robust stability results for delayed cellular neural networks based on norm-bounded uncertainties
    • Singh V. New global robust stability results for delayed cellular neural networks based on norm-bounded uncertainties. Chaos Solitons Fractals 30 (2006) 1165-1171
    • (2006) Chaos Solitons Fractals , vol.30 , pp. 1165-1171
    • Singh, V.1
  • 14
    • 33846388250 scopus 로고    scopus 로고
    • Some remarks on global asymptotic stability of neural networks with constant delay
    • Singh V. Some remarks on global asymptotic stability of neural networks with constant delay. Chaos, Solitons and Fractals 32 5 (2007) 1720-1724
    • (2007) Chaos, Solitons and Fractals , vol.32 , Issue.5 , pp. 1720-1724
    • Singh, V.1
  • 15
    • 13844256695 scopus 로고    scopus 로고
    • State estimation for delayed neural networks
    • Wang Z.D., Ho D.W.C., and Liu X.H. State estimation for delayed neural networks. IEEE Trans. Neural Networks 16 1 (2005) 279-284
    • (2005) IEEE Trans. Neural Networks , vol.16 , Issue.1 , pp. 279-284
    • Wang, Z.D.1    Ho, D.W.C.2    Liu, X.H.3
  • 16
    • 21244505313 scopus 로고    scopus 로고
    • Novel global stability criteria for interval neural networks with multiple time-varying delays
    • Xu S.Y., and Lam J. Novel global stability criteria for interval neural networks with multiple time-varying delays. Phys. Lett. A 342 (2005) 322-330
    • (2005) Phys. Lett. A , vol.342 , pp. 322-330
    • Xu, S.Y.1    Lam, J.2
  • 17
    • 33644993005 scopus 로고    scopus 로고
    • A new LMI condition for delay-dependent asymptotic stability of delayed Hopfield neural networks
    • Xu S.Y., and Lam J. A new LMI condition for delay-dependent asymptotic stability of delayed Hopfield neural networks. IEEE Trans. Circuits Syst. II Express Briefs 53 (2006) 230-235
    • (2006) IEEE Trans. Circuits Syst. II Express Briefs , vol.53 , pp. 230-235
    • Xu, S.Y.1    Lam, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.