Identification of nonlinear errors-in-variables models. (Q1421445)

The publication deals with a generalization of a classical eigenvalue-decomposition method first developed for errors-in-variables linear system identification. An identification algorithm is presented for nonlinear, but linear in parameters errors-in-variables models using nonlinear polynomial eigenvalue-eigenvector decompositions. The method generates consistent parameter estimation. Simulation results are given.