Journal article
Identification of a Class of Non-linear State Space Models using RPE Techniques
The RPE (recursive prediction error) method in state-space form is developed in the nonlinear systems and extended to include the exact form of a nonlinearity, thus enabling structure preservation for certain classes of nonlinear systems. Both the discrete and the continuous-discrete versions of the algorithm in an innovations model are investigated, and a nonlinear simulation example shows a quite convincing performance of the filter as combined parameter and state estimator
| Language: | English |
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| Publisher: | IEEE |
| Year: | 1989 |
| Pages: | 312-316 |
| ISSN: | 15582523 , 00189286 and 23343303 |
| Types: | Journal article |
| DOI: | 10.1109/9.16421 |
| ORCIDs: | Blanke, Mogens |
Filtering algorithms Filtering theory Linear systems Nonlinear equations Nonlinear filters Nonlinear systems Parameter estimation Predictive models State estimation Technological innovation filter filtering and prediction theory identification nonlinear state-space models nonlinear systems nonlinearity parameter estimation recursive prediction error state estimator state-space methods
