Technical communique: Initial estimates for the dynamics of a Hammerstein system
Automatica (Journal of IFAC)
Blind maximum likelihood identification of Hammerstein systems
Automatica (Journal of IFAC)
Brief paper: Variance results for identification of cascade systems
Automatica (Journal of IFAC)
Wiener and Hammerstein uncertain models identification
Mathematics and Computers in Simulation
Improved identification of Hammerstein plants using new CPSO and IPSO algorithms
Expert Systems with Applications: An International Journal
Automatica (Journal of IFAC)
Brief Estimation of an N-L-N Hammerstein-Wiener model
Automatica (Journal of IFAC)
Brief Fast approximate identification of nonlinear systems
Automatica (Journal of IFAC)
Linear approximations of nonlinear FIR systems for separable input processes
Automatica (Journal of IFAC)
Hammerstein-Wiener system estimator initialization
Automatica (Journal of IFAC)
Identification of nonlinear dynamics using a general spatio-temporal network
Mathematical and Computer Modelling: An International Journal
Identification of Hammerstein-Wiener models
Automatica (Journal of IFAC)
Original article: Modeling the dynamic sandwich system with hysteresis using NARMAX model
Mathematics and Computers in Simulation
Quasiconvexity analysis of the Hammerstein model
Automatica (Journal of IFAC)
Hi-index | 22.17 |
Identification of nonlinear systems which can be represented by combinations of linear dynamic and static nonlinear elements are considered. Previous results by the authors based on correlation analysis are combined to provide a unified treatment for this class of systems. It is shown that systems composed of cascade, feedforward, feedback and multiplicative connections of linear dynamic and zero memory nonlinear elements can be identified in terms of the individual component subsystems from measurements of the system input and output only.