Bounding Approaches to System Identification
In response to the growing interest in bounding error approaches, the editors of this volume offer the first collection of papers to describe advances in techniques and applications of bounding of the parameters, or state variables, of uncertain dynamical systems. Contributors explore the application of the bounding approach as an alternative to the probabilistic analysis of such systems, relating its importance to robust control-system design.
| ISBN: | 9780306450211 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 567 |
| Produktart: | Gebunden |
| Herausgeber: | Milanese, M. Norton, J. Piet-Lahanier, H. Walter, É. |
| Verlag: | Springer US |
| Veröffentlicht: | 31.05.1996 |
| Schlagworte: | Analysis Markov Regression algorithm complexity linear regression robot system system identification |