A minimal k-step delay controller for robust tracking of non-minimum phase systems
Systems & Control Letters
Parameter identification of discontinuous Hammerstein systems
Automatica (Journal of IFAC)
Brief Identification of linear systems with hard input nonlinearities of known structure
Automatica (Journal of IFAC)
Quantifying the accuracy of Hammerstein model estimation
Automatica (Journal of IFAC)
A blind approach to the Hammerstein-Wiener model identification
Automatica (Journal of IFAC)
Model selection approaches for non-linear system identification: a review
International Journal of Systems Science
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
Computers & Mathematics with Applications
Automatica (Journal of IFAC)
Wiener and Hammerstein uncertain models identification
Mathematics and Computers in Simulation
Identification of Wiener model using step signals and particle swarm optimization
Expert Systems with Applications: An International Journal
Parametric identification of structured nonlinear systems
Automatica (Journal of IFAC)
Nonlinear models of physiological parameters based on exercise spiroergometric tests
CSCS '11 Proceedings of the 2nd international conference on Circuits, systems, control, signals
A two-stage algorithm for identification of nonlinear dynamic systems
Automatica (Journal of IFAC)
Identification of Hammerstein nonlinear ARMAX systems
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
The main result of this paper is to show that the linear part can be made decoupled from the nonlinear part in Hammerstein model identification. Therefore, identification of the linear part for a Hammerstein model becomes a linear problem and accordingly enjoys the same convergence and consistency results as if the unknown nonlinearity is absent.