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Identification of nonlinear systems using the Wiener model

Identification of nonlinear systems using the Wiener model

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© The Institution of Electrical Engineers
Published

An algorithm for the identification of nonlinear systems which can be described by a Wiener model consisting of a linear system followed by a single-valued nonlinearity is presented. Crossconolation techniques are employed to decouple the identification of the linear dynamics from the characterisation of the nonlinear element.

Inspec keywords: modelling; identification; nonlinear systems

Other keywords: nonlinear systems; Wiener model; linear dynamics; single valued nonlinearity; cross correlation techniques

Subjects: Simulation, modelling and identification; Nonlinear control systems

References

    1. 1)
      • Schetzen, M.: `Average of the product of Gaussian variables', 60, Quarterly Progress Report, 1960, p. 137–141.
    2. 2)
      • Bose, A.G.: `A theory of non-linear systems', 309, Technical Report, 1956.
    3. 3)
      • N. Wiener . (1958) , Nonlinear problems in random theory.
    4. 4)
      • A. Gardiner . Identification of processes containing single-valued non-linearities. Int. J. Control , 1029 - 1039
    5. 5)
      • K.S. Narendra , P.G. Gallman . An iterative method for the identification of non-linear systems using a Hammerstein model. IEEE Trans. , 546 - 550
    6. 6)
      • R.H. Cameron , W.T. Martin . The orthogonal development of non-linear functions in series of Fourier-Hermite functionals. Ann. Math. , 385 - 389
    7. 7)
      • Nuttall, A.H.: `Theory application of the separable class of random processes', 343, Technical Report, 1958.
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