메뉴 건너뛰기




Volumn 16, Issue 1, 2006, Pages 67-79

Modelling and control of chaotic processes through their bifurcation diagrams generated with the help of recurrent neural network models. Part 2: An industrial study

Author keywords

Bifurcation diagram; Chaotic process; Multi variate chaotic time series; Recurrent neural networks

Indexed keywords

BIFURCATION (MATHEMATICS); CHAOS THEORY; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; ERROR ANALYSIS; MATHEMATICAL MODELS; TIME SERIES ANALYSIS;

EID: 25644438490     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2005.04.003     Document Type: Article
Times cited : (9)

References (17)
  • 2
    • 62649098768 scopus 로고    scopus 로고
    • Development of intelligent system, for predicting sticker induced breakouts in continuous casting based on artificial neural networks
    • Indian Institute of Technology, Kharagpur, India (September)
    • K.V. Rajaram, M.A. Faruqi, Development of intelligent system, for predicting sticker induced breakouts in continuous casting based on artificial neural networks, Final Report ME/1998/TISCO/2, Indian Institute of Technology, Kharagpur, India (September 1998).
    • (1998) Final Report , vol.ME-1998-TISCO-2
    • Rajaram, K.V.1    Faruqi, M.A.2
  • 5
    • 0037356918 scopus 로고    scopus 로고
    • Introduction: Control and synchronization in chaotic dynamical systems
    • J. Kurths, B. Boccaletti, C. Grebogi, and Y.-C. Lai Introduction: control and synchronization in chaotic dynamical systems Chaos 13 1 2003 126 127
    • (2003) Chaos , vol.13 , Issue.1 , pp. 126-127
    • Kurths, J.1    Boccaletti, B.2    Grebogi, C.3    Lai, Y.-C.4
  • 8
    • 0002487735 scopus 로고
    • Mastering chaos: It is now possible to control some systems that behave chaotically engineers can use chaos to stabilize lasers, electronic circuits and even the hearts of animals
    • W.L. Ditto, and L.M. Pecora Mastering chaos: it is now possible to control some systems that behave chaotically engineers can use chaos to stabilize lasers, electronic circuits and even the hearts of animals Scientific American 269 1993 78 84
    • (1993) Scientific American , vol.269 , pp. 78-84
    • Ditto, W.L.1    Pecora, L.M.2
  • 9
    • 0031376615 scopus 로고    scopus 로고
    • Using a neural network to calculate the sensitivity vectors in synchronisation of chaotic maps
    • Research Society of Nonlinear Theory and its Applications, IEICE, Honolulu, USA
    • A.G. de Oliveira, A.P. Tsui, A.J. Jones, Using a neural network to calculate the sensitivity vectors in synchronisation of chaotic maps, in: Proceedings 1997 International Symposium on Nonlinear Theory and its Applications (NOLTA'97), vol. 1, Research Society of Nonlinear Theory and its Applications, IEICE, Honolulu, USA, 1997, pp. 46-49.
    • (1997) Proceedings 1997 International Symposium on Nonlinear Theory and Its Applications (NOLTA'97) , vol.1 , pp. 46-49
    • De Oliveira, A.G.1    Tsui, A.P.2    Jones, A.J.3
  • 10
    • 25644448159 scopus 로고    scopus 로고
    • Modelling and control of chaotic processes through their bifurcation diagrams generated with the help of recurrent neural networks models: Part 1-simulation studies
    • in press, doi:10.1016/j.jprocont.2005.04.002
    • J. Krishnaiah, C. Kumar, M.A.Faruqi, Modelling and control of chaotic processes through their bifurcation diagrams generated with the help of recurrent neural networks models: Part 1-simulation studies, Journal of Process Control, in press, doi:10.1016/j.jprocont.2005.04.002.
    • Journal of Process Control
    • Krishnaiah, J.1    Kumar, C.2    Faruqi, M.A.3
  • 11
    • 84971641070 scopus 로고    scopus 로고
    • Constructing bifurcation diagram for a chaotic time-series data through a recurrent neural network model
    • J. Krishnaiah, C.S. Kumar, M.A. Faruqi, Constructing bifurcation diagram for a chaotic time-series data through a recurrent neural network model, in: ICONIP'02 Proceedings, 2002, pp. 2354- 2358.
    • (2002) ICONIP'02 Proceedings , pp. 2354-2358
    • Krishnaiah, J.1    Kumar, C.S.2    Faruqi, M.A.3
  • 12
    • 0000779360 scopus 로고
    • Detecting strange attractors in turbulence: Appeared in dynamical systems and turbulence
    • Springer-Verlag Berlin
    • F. Takens Detecting strange attractors in turbulence: appeared in dynamical systems and turbulence Lecture Notes in Maths vol. 898 1981 Springer-Verlag Berlin pp. 366-381
    • (1981) Lecture Notes in Maths , vol.898
    • Takens, F.1
  • 13
    • 0345581350 scopus 로고    scopus 로고
    • Self-emergence of chaos in the identification of irregular periodic behaviour
    • O. De Feo Self-emergence of chaos in the identification of irregular periodic behaviour Chaos 13 4 2003 1205 1215
    • (2003) Chaos , vol.13 , Issue.4 , pp. 1205-1215
    • De Feo, O.1
  • 14
    • 0033196388 scopus 로고    scopus 로고
    • Optimal chaos control through reinforcement learning
    • S. Gadaleta, and G. Dangelmayr Optimal chaos control through reinforcement learning Chaos 9 3 1999 775 788
    • (1999) Chaos , vol.9 , Issue.3 , pp. 775-788
    • Gadaleta, S.1    Dangelmayr, G.2
  • 17
    • 0031209611 scopus 로고    scopus 로고
    • Evolving artificial neural networks to control chaotic systems
    • E.R. Weeks, and J.M. Burgess Evolving artificial neural networks to control chaotic systems Physical Review E 56 2 1997 1531 1540
    • (1997) Physical Review E , vol.56 , Issue.2 , pp. 1531-1540
    • Weeks, E.R.1    Burgess, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.