MPC-Based Dynamic Trajectory Spoofing for UAVs DOI Creative Commons
Hou Bo,

Zhongjie Yin,

Xulei Jin

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(10), P. 602 - 602

Published: Oct. 19, 2024

Navigation spoofing has been widely utilized in unmanned aircraft vehicle (UAV) countermeasures, due to its advantages of covertness, effectiveness, and dynamic trajectory control ability. However, existing research faces two primary challenges. Firstly, sudden changes the target UAV’s can result a significant degradation performance, which may enable onboard inertial components detect identify ongoing attempts. Secondly, gradual accumulation errors over time degenerates effect. To address these problems, we propose approach for UAVs based on model predictive (MPC), progressively steers towards predetermined spoofer. Simulation results demonstrate substantial enhancement performance decrease error compared methods.

Language: Английский

State-of-art, challenges, and outlook on deep hole boring: chatter suppression, tool wear monitoring, and error measurement DOI

Jiefu Sun,

Chao Sun,

Zheping Yan

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Language: Английский

Citations

2
A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning DOI Creative Commons
Seisuke Kano

Machines, Journal Year: 2025, Volume and Issue: 13(2), P. 81 - 81

Published: Jan. 23, 2025

Tribology plays a critical role in machining technologies. Friction is an essential factor processes such as composite material and bonding. This short review highlights the recent advancements controlling leveraging tribological phenomena machining. For instance, high-precision increasingly relying on situ observation real-time measurement of tools, test specimens, equipment for effective process control. Modern engineering materials often incorporate functional metastable states, composites dissimilar materials, rather than conventional stable-phase materials. In these cases, effects during can impede precision. On other hand, friction additive manufacturing demonstrates constructive application tribology. Traditionally, understanding mitigating have involved developing physical chemical models individual factors using simulations to inform decisions. However, accurately predicting system behavior has remained challenging due complex interactions between machine components variations initial operational (or deteriorated) states. Recent innovations introduced data-driven approaches that predict without need detailed models. By integrating advanced monitoring technologies learning, methods enable predictions within controllable parameters live data. shift opens new possibilities achieving more precise adaptive

Language: Английский

Citations

0
A comprehensive review of micro-milling: fundamental mechanics, challenges, and future prospective DOI

Najeeb Ullah,

Muhammad Rehan,

Muhammad Umar Farooq

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Language: Английский

Citations

0
MPC-Based Dynamic Trajectory Spoofing for UAVs DOI Creative Commons
Hou Bo,

Zhongjie Yin,

Xulei Jin

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(10), P. 602 - 602

Published: Oct. 19, 2024

Navigation spoofing has been widely utilized in unmanned aircraft vehicle (UAV) countermeasures, due to its advantages of covertness, effectiveness, and dynamic trajectory control ability. However, existing research faces two primary challenges. Firstly, sudden changes the target UAV’s can result a significant degradation performance, which may enable onboard inertial components detect identify ongoing attempts. Secondly, gradual accumulation errors over time degenerates effect. To address these problems, we propose approach for UAVs based on model predictive (MPC), progressively steers towards predetermined spoofer. Simulation results demonstrate substantial enhancement performance decrease error compared methods.

Language: Английский

Citations

1