Identification of a class of non-linear systems with gaussian non-white inputs
- 1 January 1980
- journal article
- research article
- Published by Taylor & Francis in International Journal of Systems Science
- Vol. 11 (5), 541-555
- https://doi.org/10.1080/00207728008967035
Abstract
An identification algorithm for open-loop non-linear systems composed of linear dynamic and static non-linear elements is developed for the case of gaussian non-white inputs. It is shown that correlation analysis provides estimates of the parametrized linear and second-order kernels from which the parameters of the linear subsystems can be obtained.Keywords
This publication has 14 references indexed in Scilit:
- Identification of a class of nonlinear systems using correlation analysisProceedings of the Institution of Electrical Engineers, 1978
- The kernel identification method (1910–1977)— review of theory, calculation, application, and interpretationMathematical Biosciences, 1977
- An iterative method for the identification of nonlinear systems using a Uryson modelIEEE Transactions on Automatic Control, 1975
- Measuring the Wiener kernels of a non-linear system using the fast Fourier transform algorithmInternational Journal of Control, 1973
- Combined crosscorrelation method for the measurement of 2nd-order Volterra kernelsProceedings of the Institution of Electrical Engineers, 1973
- A noniterative method for identification using Hammerstein modelIEEE Transactions on Automatic Control, 1971
- An iterative method for the identification of nonlinear systems using a Hammerstein modelIEEE Transactions on Automatic Control, 1966
- Elimination of the effect of nonlinearities on process crosscorrelationsElectronics Letters, 1966
- Measurement of the Wiener Kernels of a Non-linear System by Cross-correlation†International Journal of Control, 1965
- Some fundamental aspects of process-parameter estimationIEEE Transactions on Automatic Control, 1963