Practically-motivated input sequences for nonlinear model identification

We consider the use of binary sequences for the identification of simple nonlinear dynamic models. The results presented illustrate the nature of the interplay between the structure of the nonlinear model, the switching probability of the binary sequence, and the variability of the resulting parameter estimates. Extension to MIMO problems are proposed.