Recursive prediction error identification using the nonlinear Wiener model
Automatica (Journal of IFAC) - Special section on fault detection, supervision and safety for technical processes
On Nonparametric Identification of Wiener Systems
IEEE Transactions on Signal Processing
Hi-index | 754.84 |
The nonlinear characteristic of a Wiener system is estimated under nonparametric a priori information. The probability density of the input signal is completely unknown and can be of any form. The estimate is asymptotically biased but its bias can be made arbitrarily small. Results of computer simulations are presented.