Identification of non-linear systems using correlation analysis and pseudorandom inputs

Algorithms for the identification of open- and closed-loop non-linear systems composed of linear dynamic and static non-linear elements are developed. It is shown that correlation analysis based upon compound pseudorandom inputs provides estimates of the individual component subsystems. The selection of pseudorandom inputs is discussed and simulated examples are included.