Modeling and analysis of maneuver laws based on higher order multi-resolution dynamic mode decomposition for hypersonic glide vehicles DOI Creative Commons

Zizhou Liu,

Yudong Hu,

Changsheng Gao

и другие.

Defence Technology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

Cooperative line-of-sight guidance strategy with prescribed performance and input saturation against active defensive aircraft in two-on-two engagement DOI
X. Wang,

Tzu-Chieh Chao,

Min Hou

и другие.

The Aeronautical Journal, Год журнала: 2025, Номер unknown, С. 1 - 28

Опубликована: Янв. 24, 2025

Abstract This paper considers the guidance issue for attackers against aircraft with active defense in a two-on-two engagement, which includes an attacker, protector, defender and target. A cooperative line-of-sight scheme prescribed performance input saturation is proposed utilising sliding mode control theories, guarantees that attacker able to capture target assistance of protector remaining on between order intercept defender. fixed-time function first-order anti-saturation auxiliary variable are designed game strategy constrain overshoot satisfy requirement overload manoeuver. The alleviates influence external disturbance by implementing observer chattering phenomenon caused sign function. Finally, nonlinear numerical simulations verify strategies.

Язык: Английский

Процитировано

0

Aerial-Ground Collaborative Routing with Uncertain Exploration Value DOI Creative Commons
Chan‐Seok Moon, Euihyeon Choi, Jaemyung Ahn

и другие.

International Journal of Aeronautical and Space Sciences, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

Artificial intelligence in low-altitude flight: Developmental opportunity or ethical challenge? DOI
Jin Li, Shuangxi Liu, Wei Huang

и другие.

The Aeronautical Journal, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Март 3, 2025

Abstract In recent years, the rapid convergence of artificial intelligence (AI) and low-altitude flight technology has driven significant transformations across various industries. These advancements have showcased immense potential in areas such as logistics distribution, urban air mobility (UAM) national defense. By adopting AI technology, can achieve high levels automation operate coordinated swarms, thereby enhancing efficiency precision. However, these technologies become more pervasive, they also raise pressing ethical or moral concerns, particularly regarding privacy, public safety, well risks militarisation weaponisation. issues sparked extensive debates. summary, while integration presents revolutionary opportunities, it introduces complex challenges. This article will explore opportunities challenges depth, focusing on privacy protection, military applications legal regulation, propose strategies to ensure that technological remain aligned with principles.

Язык: Английский

Процитировано

0

Survey of Path Planning for Aerial Drone Inspection of Multiple Moving Objects DOI Creative Commons
Toma Sikora, Vladan Papić

Drones, Год журнала: 2024, Номер 8(12), С. 705 - 705

Опубликована: Ноя. 26, 2024

Recent advancements in autonomous mobile robots (AMRs), such as aerial drones, ground vehicles, and quadrupedal robots, have significantly impacted the fields of infrastructure inspection, emergency response, surveillance. Many these settings contain multiple moving elements usually neglected planning process. While a large body work covers topics addressing scenarios with stationary objects, promising dynamic points interest has only recently gained traction due to computational complexity. The nature problem brings it challenges motion prediction, real time adaptability, efficient decision-making, uncertainty. Concerning while constrained computationally, good understanding relative simplicity their platform gives way more complex prediction algorithms needed objects. This paper presents survey current state-of-the-art solutions path for object inspection using drones. presented approaches cover intention obstacle avoidance, environments, well agents. Potential future trends were identified primarily form heuristic learning methods, probabilistic algorithms, further specialization regard every scenario.

Язык: Английский

Процитировано

0

Prescribed-Time Cooperative Guidance Law for Multi-UAV with Intermittent Communication DOI Creative Commons
Wenhui Ma, Xiaowen GUO

Drones, Год журнала: 2024, Номер 8(12), С. 748 - 748

Опубликована: Дек. 11, 2024

Networked cooperation of multi-unmanned-aerial-vehicle (UAV) is significant, but their cooperative guidance presents challenges due to weak cross-domain communication. Given the difficulties in information transmission security, this paper proposes a prescribed-time law (PTCGL) for networked multiple UAVs with intermittent Supported by directed internal communication, proposed PTCGL can ensure simultaneous arrival case pinning external communication time-triggered intermittent. In first stage, designed combine time-scaling function and second-order consensus. With desired convergence performance, time be pre-specified independent initial conditions parameter tuning theory. second begin suitable at prescribed time, are organized proportional navigation guidance, so as regardless Finally, simulations conducted verify effectiveness robustness law.

Язык: Английский

Процитировано

0

A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments DOI Creative Commons
Yiyuan Li, Weiyi Chen, Bing Fu

и другие.

Drones, Год журнала: 2024, Номер 8(12), С. 764 - 764

Опубликована: Дек. 17, 2024

The study of unmanned aerial vehicle (UAV) coverage path planning is great significance for ensuring maritime situational awareness and monitoring. In response to the problem multi-region surveillance in complex obstacle environments, this paper proposes a global method capable simultaneously addressing multiple traveling salesman problem, avoidance problem. Firstly, salesmen problem–coverage (MTSP-CPP) model with objective minimizing maximum task completion time constructed. Secondly, calculating obstacle-avoidance costs based on Voronoi diagram proposed, laying foundation obtaining optimal access order. Thirdly, an improved discrete grey wolf optimizer (IDGWO) algorithm integrated variable neighborhood search (VNS) operations proposed perform assignment UAVs achieve workload balancing. Finally, dynamic programming, points area are solved precisely generate globally path. Through simulation experiments scenarios varying scales, effectiveness superiority validated. experimental results demonstrate that can effectively solve MTSP-CPP environments.

Язык: Английский

Процитировано

0

Modeling and analysis of maneuver laws based on higher order multi-resolution dynamic mode decomposition for hypersonic glide vehicles DOI Creative Commons

Zizhou Liu,

Yudong Hu,

Changsheng Gao

и другие.

Defence Technology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0