Abstract
On-line system identification with an adjustable estimation interval based on a continuous-time model is developed. The algorithm of interval selection depends on measurement noise, adaptive gain, and modelling error. Parameter estimation is carried out using recursive formulae via a weighted least-squares estimation. Illustrative examples are presented to show the potential of this method.
| Original language | English |
|---|---|
| Pages (from-to) | 1955-1967 |
| Number of pages | 13 |
| Journal | International Journal of Systems Science |
| Volume | 19 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 1988 Jan 1 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications