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Volumn 2005, Issue , 2005, Pages 2562-2567

Dead-zone Kalman filter algorithm for recurrent neural networks

Author keywords

[No Author keywords available]

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; LYAPUNOV METHODS; NONLINEAR SYSTEMS; RECURRENT NEURAL NETWORKS; STATE SPACE METHODS;

EID: 33847235366     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1582548     Document Type: Conference Paper
Times cited : (12)

References (24)
  • 4
    • 0035392232 scopus 로고    scopus 로고
    • Robust filtering for discrete-time systems with bounded noise and parametric uncertainty
    • Robust filtering for discrete-time systems with bounded noise and parametric uncertainty, IEEE Trans. Automatic Control, Vol.46, No.7, 1084-1089, 2001
    • (2001) IEEE Trans. Automatic Control , vol.46 , Issue.7 , pp. 1084-1089
  • 5
    • 33847232752 scopus 로고    scopus 로고
    • G. C. Goodwin and K. Sang Sin, Adaptive filtering prediction and control, Prentice Hall, Englewood Cliffis, NJ07632, 1984.
    • G. C. Goodwin and K. Sang Sin, Adaptive filtering prediction and control, Prentice Hall, Englewood Cliffis, NJ07632, 1984.
  • 6
    • 0025388355 scopus 로고
    • Estimating time-varying parameters by the Kalman filter based algorithm: Stability and convergence
    • L.Guo, Estimating time-varying parameters by the Kalman filter based algorithm: stability and convergence, IEEE Trans. Automatic Control, 141-147, 1990.
    • (1990) IEEE Trans. Automatic Control , vol.141-147
    • Guo, L.1
  • 9
    • 0026841022 scopus 로고    scopus 로고
    • Y. Iiguni, H. Sakai, Member, IEEE and Higekatsu Tokumaru, A RealTime Learning Algorithm for a Multilayered Neural Network Based on the Extended Kalman Filter, IEEE Transactions on Signal Processing, 40, No.4, 959-966, 1992.
    • Y. Iiguni, H. Sakai, Member, IEEE and Higekatsu Tokumaru, A RealTime Learning Algorithm for a Multilayered Neural Network Based on the Extended Kalman Filter, IEEE Transactions on Signal Processing, Vol.40, No.4, 959-966, 1992.
  • 10
    • 0024715766 scopus 로고
    • An adaptive least square algorithm for efficient training of artificial neural networks
    • S. Kollias and D. Anastassiou, An adaptive least square algorithm for efficient training of artificial neural networks, IEEE Transactions on Circuits Systems, Vol.36, No.5, 1092-1101, 1989.
    • (1989) IEEE Transactions on Circuits Systems , vol.36 , Issue.5 , pp. 1092-1101
    • Kollias, S.1    Anastassiou, D.2
  • 11
    • 0029371323 scopus 로고    scopus 로고
    • Adaptive Model Reference Control of Discrete-Time Nonlinear Systems Using Neural Networks
    • September
    • L.Jin, P. N. Nikiforunk, M.M. Gupta, Adaptive Model Reference Control of Discrete-Time Nonlinear Systems Using Neural Networks, Control-Theory and Advanced Technology, Vol.10, No.4, Part.3, 1373-1399, September 1999.
    • (1999) Control-Theory and Advanced Technology , vol.10 , Issue.4 PART.3 , pp. 1373-1399
    • Jin, L.1    Nikiforunk, P.N.2    Gupta, M.M.3
  • 12
    • 0035505540 scopus 로고    scopus 로고
    • ∞ - learning of layered neural networks, Neural Networks
    • ∞ - learning of layered neural networks, Neural Networks, IEEE Trans.Neural Networks, Vol.12, No. 6, 1265 -1277, 2001
    • (2001) IEEE Trans.Neural Networks , vol.12 , Issue.6 , pp. 1265-1277
    • Nishiyama, K.1    Suzuki, K.2
  • 13
    • 0035505570 scopus 로고    scopus 로고
    • An Algorithm Approach to Adaptive State Filtering Using Recurrent Neural Network
    • A. G. Parlos, S. K. Menon and A. F. Atiya, An Algorithm Approach to Adaptive State Filtering Using Recurrent Neural Network, IEEE Transactions on Neural Networks, Vol.12, No.6, 1411-1432, 2001.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.6 , pp. 1411-1432
    • Parlos, A.G.1    Menon, S.K.2    Atiya, A.F.3
  • 14
    • 0028401031 scopus 로고
    • Neurocontrol of Nonlinear Dynamical Systems with Kalman Filter Trained Recurrent Networks
    • March
    • G. V. Puskorius and L. A. Feldkamp, Neurocontrol of Nonlinear Dynamical Systems with Kalman Filter Trained Recurrent Networks, IEEE Transactions on Neural Networks, Vol.5, No.2, 279-297, March 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.2 , pp. 279-297
    • Puskorius, G.V.1    Feldkamp, L.A.2
  • 15
    • 0033171387 scopus 로고    scopus 로고
    • The Extended Kalman Filter as an Exponential Observer for Nonlinear Systems
    • August
    • K. Reif and R. Unbehauen, The Extended Kalman Filter as an Exponential Observer for Nonlinear Systems, IEEE Transactions on Signal Processing, Vol.47, No.8, 2324-2328, August 1999.
    • (1999) IEEE Transactions on Signal Processing , vol.47 , Issue.8 , pp. 2324-2328
    • Reif, K.1    Unbehauen, R.2
  • 18
  • 19
    • 0032777345 scopus 로고    scopus 로고
    • On the Kalman Filtering Method in Neural-Network Training and Pruning
    • J.Sum, C.L., G. H. Young and W. Kan, On the Kalman Filtering Method in Neural-Network Training and Pruning, IEEE Transactions on Neural Networks, Vol.10, No.1, 161-166, 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.1 , pp. 161-166
    • Sum, J.1    Young, C.L.G.H.2    Kan, W.3
  • 20
    • 0242523780 scopus 로고    scopus 로고
    • Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms
    • W.Yu, Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms, Information Sciences, Vol.158, No.1, 131-147, 2004.
    • (2004) Information Sciences , vol.158 , Issue.1 , pp. 131-147
    • Yu, W.1
  • 21
    • 0037215749 scopus 로고    scopus 로고
    • Passivity analysis for dynamic multilayer neuro identifier
    • Wen Yu, Passivity analysis for dynamic multilayer neuro identifier, IEEE Transactions on Circuits and Systems, Part I, Vol.50, No.1, 173-178, 2003.
    • (2003) IEEE Transactions on Circuits and Systems, Part I , vol.50 , Issue.1 , pp. 173-178
    • Wen, Y.1
  • 22
    • 0037861046 scopus 로고    scopus 로고
    • Discrete-time neuro identification without robust modification
    • Wen Yu, Xiaoou Li, Discrete-time neuro identification without robust modification, IEE Proceedings - Control Theory and Applications, Vol.150, No.3, 311-316, 2003.
    • (2003) IEE Proceedings - Control Theory and Applications , vol.150 , Issue.3 , pp. 311-316
    • Wen, Y.1    Xiaoou, L.2
  • 23
    • 3042549361 scopus 로고    scopus 로고
    • Fuzzy identification using fuzzy neural networks with stable learning algorithms
    • Wen Yu, Xiaoou Li, Fuzzy identification using fuzzy neural networks with stable learning algorithms, IEEE Transactions on Fuzzy Systems, Vol.12, No.3, 411-420, 2004.
    • (2004) IEEE Transactions on Fuzzy Systems , vol.12 , Issue.3 , pp. 411-420
    • Wen, Y.1    Xiaoou, L.2
  • 24
    • 2942519370 scopus 로고    scopus 로고
    • Gasoline blending system modeling via static and dynamic neural networks
    • Wen Yu, América Morales, Gasoline blending system modeling via static and dynamic neural networks, International Journal of Modelling and Simulation, Vol.24, No.3, 151-160, 2004
    • (2004) International Journal of Modelling and Simulation , vol.24 , Issue.3 , pp. 151-160
    • Yu, W.1    Morales, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.