메뉴 건너뛰기




Volumn 24, Issue 3, 2004, Pages 151-160

Gasoline blending system modelling via static and dynamic neural networks

Author keywords

Gasoline blending; Neural networks; Stable learning

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; GASOLINE; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; NONLINEAR SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; STABILITY; VAPOR PRESSURE;

EID: 2942519370     PISSN: 02286203     EISSN: None     Source Type: Journal    
DOI: 10.1080/02286203.2004.11442299     Document Type: Article
Times cited : (11)

References (24)
  • 2
    • 0033914683 scopus 로고    scopus 로고
    • Model-based real-time optimization of automotive gasoline blending operations
    • A. Singh, J.F. Forbes, P.J. Vermeer, & S.S. Woo, Model-based real-time optimization of automotive gasoline blending operations, Journal of Process Control, 10, 2000, 43-58.
    • (2000) Journal of Process Control , vol.10 , pp. 43-58
    • Singh, A.1    Forbes, J.F.2    Vermeer, P.J.3    Woo, S.S.4
  • 3
    • 0036533021 scopus 로고    scopus 로고
    • Real-time optimization under parametric uncertainty: A probability constrained approach
    • Y. Zhang, D. Monder, & J.F. Forbes, Real-time optimization under parametric uncertainty: A probability constrained approach, Journal of Process Control, 12, 2002, 373-389.
    • (2002) Journal of Process Control , vol.12 , pp. 373-389
    • Zhang, Y.1    Monder, D.2    Forbes, J.F.3
  • 6
    • 0033352722 scopus 로고    scopus 로고
    • Stable dynamic backpropagation learning in recurrent neural networks
    • L. Jin & M.M. Gupta, Stable dynamic backpropagation learning in recurrent neural networks, IEEE Trans. Neural Networks, 10(6), 1999, 1321-1334.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.6 , pp. 1321-1334
    • Jin, L.1    Gupta, M.M.2
  • 7
    • 0004469897 scopus 로고
    • Neurons with grade response have collective computational propierties like those of a two-state neurons
    • J.J. Hopfield, Neurons with grade response have collective computational propierties like those of a two-state neurons, Proc. National Academy of Science, USA, 81, 1984, 3088-3092.
    • (1984) Proc. National Academy of Science, USA , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 8
    • 0032648040 scopus 로고    scopus 로고
    • Lur'e systems with multilayer perceptron and recurrent neural networks: Absolute stability and dissipativity
    • J.A.K. Suykens, J. Vandewalle, & B. De Moor, Lur'e systems with multilayer perceptron and recurrent neural networks: Absolute stability and dissipativity, IEEE Trans. on Automatic Control, 44, 1999, 770-774.
    • (1999) IEEE Trans. on Automatic Control , vol.44 , pp. 770-774
    • Suykens, J.A.K.1    Vandewalle, J.2    De Moor, B.3
  • 9
    • 0035895112 scopus 로고    scopus 로고
    • Multilayer dynamic neural networks for nonlinear system on-line identification
    • W. Yu, A.S. Poznyak, & X. Li, Multilayer dynamic neural networks for nonlinear system on-line identification, International Journal of Control, 74(18), 2001, 1858-1864.
    • (2001) International Journal of Control , vol.74 , Issue.18 , pp. 1858-1864
    • Yu, W.1    Poznyak, A.S.2    Li, X.3
  • 10
    • 0033285707 scopus 로고    scopus 로고
    • Robustness analysis of a class of discrete-time systems with applications to neural networks
    • San Deigo, CA
    • Z. Feng & A.N. Michel, Robustness analysis of a class of discrete-time systems with applications to neural networks, Proc. American Control Conf., San Deigo, CA, 1999, 3479-3483.
    • (1999) Proc. American Control Conf. , pp. 3479-3483
    • Feng, Z.1    Michel, A.N.2
  • 12
    • 0026679595 scopus 로고
    • Learning and convergence analysis of neural-type structured networks
    • M.M. Polycarpou & P.A. Ioannou, Learning and convergence analysis of neural-type structured networks, IEEE Trans. Neural Networks, 3(1), 1992, 39-50.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.1 , pp. 39-50
    • Polycarpou, M.M.1    Ioannou, P.A.2
  • 16
    • 0030410676 scopus 로고    scopus 로고
    • Identification of nonlinear dynamical systems using multilayered neural networks
    • S. Jagannathan & F.L. Lewis, Identification of nonlinear dynamical systems using multilayered neural networks, Automatica, 32(12), 1996, 1707-1712.
    • (1996) Automatica , vol.32 , Issue.12 , pp. 1707-1712
    • Jagannathan, S.1    Lewis, F.L.2
  • 17
    • 0031704654 scopus 로고    scopus 로고
    • Robust training algorithm of multilayered neural networks for identification of nonlinear dynamic systems
    • Q. Song, Robust training algorithm of multilayered neural networks for identification of nonlinear dynamic systems, IEE Proceedings, Control Theory and Applications, 145(1), 1998, 41-46.
    • (1998) IEE Proceedings, Control Theory and Applications , vol.145 , Issue.1 , pp. 41-46
    • Song, Q.1
  • 20
    • 0026824915 scopus 로고
    • New method produces accurate octane blending values
    • A. Muller, New method produces accurate octane blending values, Oil & Gas Journal, 25(3), 1992, 80-90.
    • (1992) Oil & Gas Journal , vol.25 , Issue.3 , pp. 80-90
    • Muller, A.1
  • 22
    • 0033882105 scopus 로고    scopus 로고
    • Constrained parameter estimation with applications to blending operations
    • K. Murakami & D.E. Seborg, Constrained parameter estimation with applications to blending operations, Journal of Process Control, 10, 2000, 195-202.
    • (2000) Journal of Process Control , vol.10 , pp. 195-202
    • Murakami, K.1    Seborg, D.E.2
  • 23
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • K.S. Narendra & K. Parthasarathy, Identification and control of dynamical systems using neural networks, IEEE Trans. Neural Networks, 1 (1), 1990, 4-27.
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 24
    • 0035370502 scopus 로고    scopus 로고
    • Input-to-state stability for discrete-time nonlinear systems
    • Z.P. Jiang & Y. Wang, Input-to-state stability for discrete-time nonlinear systems, Automatica 37(2), 2001, 857-869.
    • (2001) Automatica , vol.37 , Issue.2 , pp. 857-869
    • Jiang, Z.P.1    Wang, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.