Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning

Bans Baspinar; Emre Koyuncu

doi:10.1109/CCTA.2018.8511604

Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning

Bans Baspinar, Emre Koyuncu

Department of Aeronautical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2018 IEEE Conference on Control Technology and Applications, CCTA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	664-669
Number of pages	6
ISBN (Electronic)	9781538676981
DOIs	https://doi.org/10.1109/CCTA.2018.8511604
Publication status	Published - 26 Oct 2018
Event	2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark Duration: 21 Aug 2018 → 24 Aug 2018

Publication series

Name	2018 IEEE Conference on Control Technology and Applications, CCTA 2018

Conference

Conference	2nd IEEE Conference on Control Technology and Applications, CCTA 2018
Country/Territory	Denmark
City	Copenhagen
Period	21/08/18 → 24/08/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

ACKNOWLEDGEMENTS The authors disclosed that Baris Baspinar was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) with Graduate Research Fellowship.

Funders	Funder number
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Access to Document

10.1109/CCTA.2018.8511604

Cite this

Baspinar, B., & Koyuncu, E. (2018). Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018 (pp. 664-669). Article 8511604 (2018 IEEE Conference on Control Technology and Applications, CCTA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2018.8511604

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title = "Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning",

abstract = "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.",

author = "Bans Baspinar and Emre Koyuncu",

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Baspinar, B & Koyuncu, E 2018, Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning. in 2018 IEEE Conference on Control Technology and Applications, CCTA 2018., 8511604, 2018 IEEE Conference on Control Technology and Applications, CCTA 2018, Institute of Electrical and Electronics Engineers Inc., pp. 664-669, 2nd IEEE Conference on Control Technology and Applications, CCTA 2018, Copenhagen, Denmark, 21/08/18. https://doi.org/10.1109/CCTA.2018.8511604

Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning. / Baspinar, Bans ; Koyuncu, Emre.
2018 IEEE Conference on Control Technology and Applications, CCTA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 664-669 8511604 (2018 IEEE Conference on Control Technology and Applications, CCTA 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning

Abstract

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