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Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

5 Atıf (Scopus)

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 dilİngilizce
Ana bilgisayar yayını başlığı2018 IEEE Conference on Control Technology and Applications, CCTA 2018
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar664-669
Sayfa sayısı6
ISBN (Elektronik)9781538676981
DOI'lar
Yayın durumuYayınlandı - 26 Eki 2018
Etkinlik2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark
Süre: 21 Ağu 201824 Ağu 2018

Yayın serisi

Adı2018 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/BölgeDenmark
ŞehirCopenhagen
Periyot21/08/1824/08/18

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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