Abstract
The robustness of parameter identification for nonlinear dynamical systems is investigated by interpreting the parameter estimation problem from a differential geometric point of view. Results on robust identification are proved in a deterministic setting and an algorithm is developed to derive a robust estimator for the parameters of nonlinear dynamical systems. The proposed algorithm is tested on the offline identification of the rotor resistance of an electric machine for stochastic and deterministic disturbances. It could be shown that the robustness is significantly improved compared to conventional algorithms.
| Original language | English |
|---|---|
| Title of host publication | CD Proceedings 13th IFAC Symposium on System Identification, August 27-29, Rotterdam, The Netherland |
| Editors | IFAC |
| Pages | 749-754 |
| Number of pages | 6 |
| Publication status | Published - 2003 |
Fields of science
- 101028 Mathematical modelling
- 202 Electrical Engineering, Electronics, Information Engineering
- 202003 Automation
- 202017 Embedded systems
- 202027 Mechatronics
- 202034 Control engineering
- 203015 Mechatronics