A comparison of two Hammerstein model identification algorithms
- 1 February 1976
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 21 (1), 124-126
- https://doi.org/10.1109/tac.1976.1101123
Abstract
Two algorithms for least-squares estimation of parameters of a Hammerstein model are compared. Numerical examples demonstrate that the iterative method of Narendra and Gallman produces significantly smaller parameter covariance and slightly smaller rms error than the noniterative method of Chang and Luus, as expected from an analysis of the parameter estimators. In addition, the iterative algorithm is faster for high-order systems.Keywords
This publication has 3 references indexed in Scilit:
- 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
- A technique for the identification of linear systemsIEEE Transactions on Automatic Control, 1965