Zobrazeno 1 - 10
of 1 438
pro vyhledávání: '"air-combat"'
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 4, Pp 35-43 (2024)
The development in artificial intelligence has dramatically changed all industries, among which AI-assisted air combat is a representative case of success. An Intelligent air combat model that consists of the attainment of samples and a decision-maki
Externí odkaz:
https://doaj.org/article/7c5fa0e0cb13475db196af8d28d6a954
Publikováno v:
Hangkong bingqi, Vol 31, Iss 2, Pp 32-43 (2024)
In information-based air combat, whoever can quickly obtain and effectively utilize opponent information, can accurately predict the opponent’s movement trajectory, complete the OODA cycle more quickly, and thus gain air combat advantages. This art
Externí odkaz:
https://doaj.org/article/dfdf046fa8304c8fbe3b8dccd9be5d66
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7513-7530 (2024)
Abstract In air combat missions, unmanned combat aerial vehicles (UCAVs) must take strategic actions to establish combat advantages, enabling effective tracking and attacking of enemy UCAVs. Currently, a lot of reinforcement learning algorithms are a
Externí odkaz:
https://doaj.org/article/52c32f1eea2e45eaa15a0ffe459fcaff
Publikováno v:
工程科学学报, Vol 46, Iss 7, Pp 1179-1186 (2024)
With the rapid development of intelligent and informationized air battlefields, intelligent air combat has increasingly become key to affecting the outcome of a battlefield. In conventional multi-aircraft air combat, there are issues of low efficienc
Externí odkaz:
https://doaj.org/article/01ebf80118b642c8b986c5a6e50f9e95
Publikováno v:
工程科学学报, Vol 46, Iss 7, Pp 1227-1236 (2024)
The effective implementation of multi-unmanned aerial vehicle (UAV) decision making and improvement in the efficiency of coordinated mission execution are currently the top priorities of air combat research. To solve the problem of multi-UAV cooperat
Externí odkaz:
https://doaj.org/article/b1cad25c133247bd8024989dc6e58900
Publikováno v:
Hangkong bingqi, Vol 31, Iss 3, Pp 21-31 (2024)
This paper focuses on the development of modern intelligent air combat decision-making technology, and analyzes the elements and characteristics of intelligent air combat scenarios. It introduces the research status and practical application of exist
Externí odkaz:
https://doaj.org/article/31c5d44c1c454e95ad7825f5ae4c5204
Publikováno v:
In Expert Systems With Applications 1 April 2025 267
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 2, Pp 179-187 (2024)
The existing aerial combat control methods do not comprehensively consider the situation assessment based on expert knowledge and the control of aerial combat through continuous speed change. Based on the deep deterministic policy gradient(DDPG) rein
Externí odkaz:
https://doaj.org/article/a4ee9eaf9f6f45308e651ed48e0898f0
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 1, Pp 85-92 (2024)
For the lack of command and control modeling principles and mechanisms in the current end-to-end campaign tactical level simulation for unmanned air combat, this paper systematically combs and studies the recent research in unmanned air campaign tact
Externí odkaz:
https://doaj.org/article/74575294c53b4eab88329637eba950ef
Publikováno v:
IEEE Access, Vol 12, Pp 182693-182707 (2024)
Deep reinforcement learning (DRL) can significantly improve the autonomy and effectiveness of air combat maneuver decision (ACMD). The design of reward functions faces significant challenges due to the long duration and large state space of air comba
Externí odkaz:
https://doaj.org/article/d9a5903cd0bb4530abe312d7d287a974