Interval predictors for a class of uncertain discrete-time systems
This work presents set-valued algorithms to compute tight interval predictions of the state trajectories for a class of uncertain dynamical systems, where the dynamics is described as a sum of a linear and a nonlinear term. Based on interval analysis and the analytic expression of the state response...
Elmentve itt :
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| Dokumentumtípus: | Cikk |
| Megjelent: |
University of Szeged, Institute of Informatics
Szeged
2020
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| Sorozat: | Acta cybernetica
24 No. 3 |
| Kulcsszavak: | Számítástechnika, Kibernetika, Vezérléstechnika, Robotika |
| Tárgyszavak: | |
| doi: | 10.14232/actacyb.24.3.2020.12 |
| Online Access: | http://acta.bibl.u-szeged.hu/69276 |
| Tartalmi kivonat: | This work presents set-valued algorithms to compute tight interval predictions of the state trajectories for a class of uncertain dynamical systems, where the dynamics is described as a sum of a linear and a nonlinear term. Based on interval analysis and the analytic expression of the state response of discrete-time linear systems, non-conservative numerical schemes are proposed. Moreover, under some stability conditions, the convergence of the width of the predicted state enclosures is proved. The performance of the proposed set-valued algorithms is illustrated through two numerical examples, and the results are compared to that obtained with another method selected from the literature. |
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| Terjedelem/Fizikai jellemzők: | 493-508 |
| ISSN: | 0324-721X |