An interactive term approach to non-parametric FIR nonlinear system identification

In this paper, a framework for selecting input sequences is presented for non-parametric nonlinear system identification so that interaction terms can be identified separably. In a sense, the approach decomposes a general difficult high dimensional nonlinear identification problem into a number of problems that are lower dimensionable. Corresponding identification algorithms are proposed and shown to be convergent.