This paper proposes a new algorithm for the identification of Hammerstein-Wiener system with dead zone input nonlinearity. This method is a combination of least square method and gradient method. The algorithm is simple and will give a precise identification result.
An algorithm is presented for the identification of nonlinear systems which can be described by a model consisting of a linear system in cascade with a nonlinear element followed by another linear system. Cross-correlation techniques are employed to decouple the identification of the linear dynamics from the characterisation of the nonlinear element when the input is a white Gaussian signal. Parameterisation of both the linear and nonlinear component subsystems is discussed and the results of a simulation study are included to illustrate the validity of the algorithm.
Berzelius failed to make use of Faraday's electrochemical laws in his laborious determination of equivalent weights.