A novel recursive algorithm for identification of Hammerstein structures is developed. The linear and nonlinear parameters are separated and estimated recursively in a parallel manner, but each updating algorithm employs the estimation produced by the other at the previous time instant. Hence, it is termed the Alternately Recursive Least Square (ARLS) algorithm. When compared with Recursive Least Squares (RLS) algorithm applied to the over-parametric representations of the Hammerstein structure, ARLS demonstrated superior performance over extensive numerical simulations
International audienceIn this paper, we consider the identification of Hammerstein systems in presen...
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
Different from the output-input representation based identification methods of two-block Hammerstein...
This paper deals with the problem of estimating the parameters of Hammerstein systems based on recur...
Online identification of electrically stimulated muscle under isometric conditions, modeled as a Ham...
Abstract: In this paper the instrumental variable and recursive least square algorithm for identific...
A new coupled structure identification of Multi-Input Multi-Output (MIMO) Hammerstein models with se...
Generally, memoryless polynomial nonlinear model for nonlinear part and finite impulse response (FIR...
Abstract. A new method for identifying Hammerstein/Wiener models is proposed, where the parameters o...
In this work, recursive identification algorithms are developed for Hammerstein systems under the co...
In literature, various linear and nonlinear model structures are defined to identify the systems. Li...
This paper deals with the identification of the fractional order Hammerstein model by using proposed...
A recursive algorithm to recover the nonlinear char-acteristic of the memoryless part of the Hammer-...
Paper describes non-linear structure identification with application to Wiener-Hammerstein systems
International audienceThis paper aims to describe an identification method for Hammerstein systems. ...
International audienceIn this paper, we consider the identification of Hammerstein systems in presen...
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
Different from the output-input representation based identification methods of two-block Hammerstein...
This paper deals with the problem of estimating the parameters of Hammerstein systems based on recur...
Online identification of electrically stimulated muscle under isometric conditions, modeled as a Ham...
Abstract: In this paper the instrumental variable and recursive least square algorithm for identific...
A new coupled structure identification of Multi-Input Multi-Output (MIMO) Hammerstein models with se...
Generally, memoryless polynomial nonlinear model for nonlinear part and finite impulse response (FIR...
Abstract. A new method for identifying Hammerstein/Wiener models is proposed, where the parameters o...
In this work, recursive identification algorithms are developed for Hammerstein systems under the co...
In literature, various linear and nonlinear model structures are defined to identify the systems. Li...
This paper deals with the identification of the fractional order Hammerstein model by using proposed...
A recursive algorithm to recover the nonlinear char-acteristic of the memoryless part of the Hammer-...
Paper describes non-linear structure identification with application to Wiener-Hammerstein systems
International audienceThis paper aims to describe an identification method for Hammerstein systems. ...
International audienceIn this paper, we consider the identification of Hammerstein systems in presen...
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
Different from the output-input representation based identification methods of two-block Hammerstein...