Fault-tolerant Q-learning for discrete-time linear systems with actuator and sensor faults using input-output measured data
This study presents a novel output feedback Q-learning algorithm specifically designed for fault-tolerant control in real-time applications, circumventing the necessity for explicit system models or detailed actuator and sensor fault information. A significant benefit of this algorithm is its capabi...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-06-01
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| Serie: | Franklin Open |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2773186325000490 |
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