Subspace identification of Hammerstein systems with nonparametric input backlash and switch nonlinearities

Mathieu Pouliquen, Fouad Giri, Olivier Gehan, Eric Pigeon, Miloud Frikel, Boubekeur Targui
2013 52nd IEEE Conference on Decision and Control  
In this paper, a subspace identification algorithm for a class of Hammerstein systems is developed. We consider dynamical systems subject to input backlash or switch nonlinearities. The idea is to use a specific input signal allowing the estimation of the nonlinear part and the estimation of a state space model for the linear part. The identification algorithm is a subspace type algorithm. A simulation example is given to illustrate the performances of the present method.
doi:10.1109/cdc.2013.6760551 dblp:conf/cdc/PouliquenGGPFT13 fatcat:vyz43xawnzgefcjem7eua5lpcm