Showing 1 - 20 results of 115 for search 'SYSTEM IDENTIFICATION', query time: 0.91s Refine Results
  1. 1
    Failure identification for 3D systems
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  2. 2
    System identification for FES-based tremor suppression
    by Copur, E.H, Freeman, C.T, Chu, B., Laila, D.S
    Published 2016
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    Article
  3. 3
    Neural networks for nonlinear dynamic system modelling and identification
    by Chen, S., Billings, S. A.
    Published 1992
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  4. 4
    Non-linear system identification using neural networks
    by Chen, S., Billings, S. A., Grant, P. M.
    Published 1990
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  5. 5
    Identification of nonlinear systems using generalized kernel models
    by Chen, S., Hong, X., Harris, C.J, Wang, X.X
    Published 2005
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  6. 6
    System identification of Wiener systems with B-spline functions using De Boor recursion
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  7. 7
    Model selection approaches for nonlinear system identification: a review
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  8. 8
    Recursive Identification of Hammerstein Systems with application to Electrically Stimulated Muscle
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  9. 9
    Orthogonal least squares methods and their application to non-linear system identification
    by Billings, S. A., Luo, W., Chen, Sheng
    Published 1989
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    Article
  10. 10
    Application of structured total least squares for system identification and model reduction
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  11. 11
    Non-parametric linear time-invariant system identification by discrete wavelet transforms
    by Luk, R. W.-P, Damper, R. I.
    Published 2006
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  12. 12
    Identification of MIMO non-linear systems using a forward-regression orthogonal estimator
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  13. 13
    NARX-based nonlinear system identification using orthogonal least squares basis hunting
    by Chen, Sheng, Wang, X.X, Harris, Chris J.
    Published 2008
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  14. 14
    The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization
    by Hong, Xia, Chen, Sheng
    Published 2012
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  15. 15
    Robust global sliding model control for water-hull-propulsion unit interaction systems - part 1: system boundary identification
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  16. 16
    Recursive hybrid algorithm for non-linear system identification using radial basis function networks
    by Chen, S., Billings, S. A., Grant, P. M.
    Published 1992
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    Article
  17. 17
    Extended model set, global data and threshold model identification of severely non-linear systems
    by Billings, S. A., Chen, S.
    Published 1989
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  18. 18
    Non-linear system identification using particle swarm optimisation tuned radial basis function models
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  19. 19
    Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron
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  20. 20
    Identification and data-driven model reduction of state-space representations of lossless and dissipative systems from noise-free data
    by Rapisarda, Paolo, Trentelman, Harry
    Published 2011
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    Article
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