Nonparametric identification of nonlinear dynamic systems
Kenderi, Gábor
Nonparametric identification of nonlinear dynamic systems - KIT Scientific Publishing 2018 - 1 electronic resource (XXVIII, 194 p. p.)
Open Access
A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentation technique that turns the filter into a dual state and parameter estimator, of which an extension towards nonparametric identification is proposed in the present work.
Creative Commons
English
KSP/1000085419 9783731508342
10.5445/KSP/1000085419 doi
nichtlineare dynamische System Kalman Filter nonlinear dynamic system nonparametric identification nichtparametrische Identifikation
Nonparametric identification of nonlinear dynamic systems - KIT Scientific Publishing 2018 - 1 electronic resource (XXVIII, 194 p. p.)
Open Access
A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentation technique that turns the filter into a dual state and parameter estimator, of which an extension towards nonparametric identification is proposed in the present work.
Creative Commons
English
KSP/1000085419 9783731508342
10.5445/KSP/1000085419 doi
nichtlineare dynamische System Kalman Filter nonlinear dynamic system nonparametric identification nichtparametrische Identifikation