Identification of nonlinear dynamic systems described by Hammerstein state-space models with discontinuous nonlinearities
by Houda Salhi; Samira Kamoun
International Journal of Engineering Systems Modelling and Simulation (IJESMS), Vol. 9, No. 3, 2017

Abstract: This paper deals with the parameter estimation problem of Hammerstein state-space models with different nonlinearities. The basic idea is to develop a recursive algorithm which estimate jointly the system model parameters and the state variables by combining the adjustable model method, the least squares technique and the Kalman filter. A numerical example is provided to test the flexibility and the effectiveness of the proposed algorithm.

Online publication date: Mon, 10-Jul-2017

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