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 …
Fixed-time zero-sum Pursuit–Evasion game control of multisatellite via adaptive dynamic programming
Z Zhang, K Zhang, X **e, J Sun - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Inspired by the combination of zero-sum game and fixed-time convergence, this study
investigates the optimal control strategy for a multisatellite fixed-time pursuit–evasion zero …
investigates the optimal control strategy for a multisatellite fixed-time pursuit–evasion zero …
Game theoretic self-organization in multi-satellite distributed task allocation
This paper addresses self-organized task allocation in multi-satellite systems by formulating
it as a potential game and proposing a distributed task allocation algorithm (DT2A) via …
it as a potential game and proposing a distributed task allocation algorithm (DT2A) via …
Two-stage pursuit strategy for incomplete-information impulsive space pursuit-evasion mission using reinforcement learning
This paper presents a novel and robust two-stage pursuit strategy for the incomplete-
information impulsive space pursuit-evasion missions considering the J2 perturbation. The …
information impulsive space pursuit-evasion missions considering the J2 perturbation. The …
Learning deception using fuzzy multi-level reinforcement learning in a multi-defender one-invader differential game
Differential games are a class of game theory problems governed by differential equations.
Differential games are often defined in the continuous domain and solved by the calculus of …
Differential games are often defined in the continuous domain and solved by the calculus of …
Network survivability oriented Markov games (NSOMG) in wideband satellite communications
Future satellite communications (SATCOM) challenges will require cognitive spectrum
management and agile waveform adaptation solutions that are not only context-aware and …
management and agile waveform adaptation solutions that are not only context-aware and …
Hybrid blockchain-enabled secure microservices fabric for decentralized multi-domain avionics systems
Advancement in artificial intelligence (AI) and machine learning (ML), dynamic data driven
application systems (DDDAS), and hierarchical cloud-fog-edge computing paradigm provide …
application systems (DDDAS), and hierarchical cloud-fog-edge computing paradigm provide …
A Geometrical, Reachable Set Approach for Constrained Pursuit–Evasion Games with Multiple Pursuers and Evaders
This paper presents a solution strategy for deterministic time-optimal pursuit–evasion games
with linear state constraints, convex control constraints, and linear dynamics that is …
with linear state constraints, convex control constraints, and linear dynamics that is …
Linear quadratic differential game approach for attitude takeover control of failed spacecraft
Y Chai, J Luo, N Han, J **e - Acta Astronautica, 2020 - Elsevier
Spacecraft is mostly abandoned after its fuel exhausts or actuator fails. Using microsatellites
to implement attitude takeover control for failed spacecraft is a cost efficient way to recycle …
to implement attitude takeover control for failed spacecraft is a cost efficient way to recycle …