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Identification of nonlinear errors-in-variables models. (English) Zbl 1041.93020

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.

MSC:

93B30 System identification
93C10 Nonlinear systems in control theory
93B60 Eigenvalue problems
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