Deep learning methods for space situational awareness in mega-constellations satellite-based internet of things networks
Artificial Intelligence of things (AIoT) is the combination of Artificial Intelligence (AI)
technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' …
technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' …
Cooperative space object tracking using space-based optical sensors via consensus-based filters
Cooperative tracking plays a key role in space situation awareness for scenarios with a
limited number of observations or poor performance of a single sensor or both. To use the …
limited number of observations or poor performance of a single sensor or both. To use the …
Multi-player pursuit–evasion games with one superior evader
Inspired by the hunting and foraging behaviors of group predators, this paper addresses a
class of multi-player pursuit–evasion games with one superior evader, who moves faster …
class of multi-player pursuit–evasion games with one superior evader, who moves faster …
Pursuit–evasion game for satellites based on continuous thrust reachable domain
H Gong, S Gong, J Li - IEEE Transactions on Aerospace and …, 2020 - ieeexplore.ieee.org
We investigate the pursuit-evasion differential game (PE Game) for satellites with continuous
thrust from the viewpoint of reachable domain (RD). A concept of hyper-reachable domain …
thrust from the viewpoint of reachable domain (RD). A concept of hyper-reachable domain …
Adaptive robust control for dual avoidance–arrival performance for uncertain mechanical systems
Q Sun, X Wang, YH Chen - Nonlinear Dynamics, 2018 - Springer
An unprecedented dual avoidance–arrival problem is addressed for uncertain mechanical
systems. The concerned system uncertainty is (possibly fast) time-varying but within an …
systems. The concerned system uncertainty is (possibly fast) time-varying but within an …
Comparison of two optimal guidance methods for the long-distance orbital pursuit-evasion game
X Zeng, L Yang, Y Zhu, F Yang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The orbital pursuit-evasion game (OPE) is a topic of research that has been attracting
increasing attention from scholars. However, most works based on the relative dynamics …
increasing attention from scholars. However, most works based on the relative dynamics …
Reinforcement learning-based decision-making for spacecraft pursuit-evasion game in elliptical orbits
W Yu, C Liu, X Yue - Control Engineering Practice, 2024 - Elsevier
The orbital game theory is a fundamental technology for the cleanup of space debris to
improve the safety of useful spacecraft in future, thus, this work develops a decision-making …
improve the safety of useful spacecraft in future, thus, this work develops a decision-making …
Design of parameter-self-tuning controller based on reinforcement learning for tracking noncooperative targets in space
Tracking space noncooperative targets, including disabled and mobile spacecrafts, remains
a challenging problem. This article develops two reinforcement-learning-based parameter …
a challenging problem. This article develops two reinforcement-learning-based parameter …
Sensitivity methods applied to orbital pursuit evasion
SENSITIVITY methods are applied to the orbital pursuit–evasion (PE) problem, in which
saddle-point optimal trajectory solutions are found simultaneously for a pursuer and an …
saddle-point optimal trajectory solutions are found simultaneously for a pursuer and an …
[HTML][HTML] Adaptive robust control for triple avoidance-striking-arrival performance of uncertain tank mechanical systems
Z Wang, G Yang, X Wang, Q Sun, Y Ma - Defence Technology, 2022 - Elsevier
This paper puts forward an unprecedented avoidance-striking-arrival problem aiming to
address the need for tank's uncertain mechanical systems on the intelligent battlefield. The …
address the need for tank's uncertain mechanical systems on the intelligent battlefield. The …