Identification of block-oriented nonlinear systems based on input-output data
This thesis deals with the identification of block-oriented nonlinear systems. Block-oriented nonlinear systems are composed of linear time-invariant dynamic systems and nonlinear static functions, which are interconnected in different ways. Hammerstein systems, Wiener systems and Hammerstein-Wiener...
| Glavni avtor: | |
|---|---|
| Drugi avtorji: | |
| Format: | Thesis |
| Jezik: | English |
| Izdano: |
2012
|
| Teme: | |
| Online dostop: | https://hdl.handle.net/10356/48668 |
| Izvleček: | This thesis deals with the identification of block-oriented nonlinear systems. Block-oriented nonlinear systems are composed of linear time-invariant dynamic systems and nonlinear static functions, which are interconnected in different ways. Hammerstein systems, Wiener systems and Hammerstein-Wiener systems as well as Wiener-Hammerstein systems are some well-known examples of block-oriented systems. The main achievements are in the development of new models and new algorithms in identifying block-oriented nonlinear systems. |
|---|