Nonparametric estimation of discrete type Hammerstein systems with application to tactile sensor identification

The authors discuss identification of a multi-input, single output discrete Hammerstein system. Such a system contains a nonlinear, memoryless subsystem followed by a dynamic, linear subsystem. The identification process is carried out in two stages. The impulse response of the dynamic linear subsystem is obtained by the correlation method. The main results concern the estimation of the nonlinear, memoryless subsystem. No conditions are imposed on the functional form of the nonlinear subsystem; nonlinearity is recovered using nonparametric regression techniques. The estimation algorithms can be applied to tactile array sensor identification