A two-stage Kalman estimator for motion control using model predictive strategy
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Authors
The paper proposes an hybrid Kalman filter integrating a robust and optimal algorithm for the use as an observer in model-varying predictive control (MVPC) of a nonlinear system. Moreover, a position MPC is derived in detail. Even though the proposed approach is quite general, a real case coming from automotive application is studied using computer simulation to demonstrate the effectiveness of the proposed technique. Simulations and results with real data are also discussed. © 2004 IEEE.
| Originalsprache | Englisch | 
|---|---|
| Titel | 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV) : Kunming, 6 December 2004 - 9 December 2004, 65079 | 
| Anzahl der Seiten | 6 | 
| Band | 3 | 
| Verlag | IEEE - Institute of Electrical and Electronics Engineers Inc. | 
| Erscheinungsdatum | 2004 | 
| Seiten | 1699-1704 | 
| ISBN (Print) | 0780386531 | 
| DOIs | |
| Publikationsstatus | Erschienen - 2004 | 
| Extern publiziert | Ja | 
| Veranstaltung | 8th International Conference on Control, Automation, Robotics and Vision - ICARCV2004 - Kunming, China Dauer: 06.12.2004 → 09.12.2004 Konferenznummer: 8 | 
- Ingenieurwissenschaften
