Identification of nonlinear errors-in-variables models
Copyright policy )Identification of nonlinear errors-in-variables models
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.
errors-in-variables model, Nonlinear systems in control theory, nonlinear system identification, eigenvalue-eigenvector decomposition, System identification, Eigenvalue problems
errors-in-variables model, Nonlinear systems in control theory, nonlinear system identification, eigenvalue-eigenvector decomposition, System identification, Eigenvalue problems
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