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Modelling and estimation of hammerstein system with preload nonlinearity.
| Content Provider | CiteSeerX |
|---|---|
| Author | Elleuch, Khaled Chaari, Abdessattar |
| Abstract | This paper deals with modelling and parameter identification of nonlinear systems described by Hammerstein model having asymmetric static nonlinearities known as preload nonlinearity characteristic. The simultaneous use of both an easy decomposition technique and the generalized orthonormal bases leads to a particular form of Hammerstein model containing a minimal parameters number. The employ of orthonormal bases for the description of the linear dynamic block conducts to a linear regressor model, so that least squares techniques can be used for the parameter estimation. Singular Values Decomposition (SVD) technique has been applied to separate the coupled parameters. To demonstrate the feasibility of the identification method, an illustrative example is included. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Preload Nonlinearity Hammerstein System Hammerstein Model Orthonormal Base Singular Value Decomposition Particular Form Square Technique Coupled Parameter Parameter Estimation Simultaneous Use Linear Dynamic Block Conduct Illustrative Example Nonlinear System Asymmetric Static Nonlinearities Preload Nonlinearity Characteristic Linear Regressor Model Minimal Parameter Number Identification Method Parameter Identification Easy Decomposition Technique |
| Content Type | Text |
| Resource Type | Article |
