Özet
The mission-threat analysis is the key factor in air combat missions. The strategic success evaluation of a mission is done through survivability assessment. The mission assessment process begins with the modeling of threats in which a hostile environment can be constructed through these models. Then, based on the environment model including stochasticity, an optimum strategy maximizing the aircraft's survivability is obtained. This study proposes a survivability analysis and optimal mission planning methodology using reinforcement learning for an aircraft flying in a human-made and hostile natural environment.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2018 IEEE Conference on Control Technology and Applications, CCTA 2018 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 664-669 |
| Sayfa sayısı | 6 |
| ISBN (Elektronik) | 9781538676981 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 26 Eki 2018 |
| Etkinlik | 2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark Süre: 21 Ağu 2018 → 24 Ağu 2018 |
Yayın serisi
| Adı | 2018 IEEE Conference on Control Technology and Applications, CCTA 2018 |
|---|
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| ???event.eventtypes.event.conference??? | 2nd IEEE Conference on Control Technology and Applications, CCTA 2018 |
|---|---|
| Ülke/Bölge | Denmark |
| Şehir | Copenhagen |
| Periyot | 21/08/18 → 24/08/18 |
Bibliyografik not
Publisher Copyright:© 2018 IEEE.
Finansman
ACKNOWLEDGEMENTS The authors disclosed that Baris Baspinar was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) with Graduate Research Fellowship.
| Finansörler |
|---|
| TUBITAK |
| Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |
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