This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …

In this paper, a survey on the machine learning techniques in spacecraft control design is
given. Among the applications of machine learning on the subject are the design of optimal …

The phasing parameter F determines the relative phasing between satellites in different
orbital planes and thereby affects the relative position of the satellites in a constellation. The …

In the field of space exploration, floating platforms play a crucial role in scientific
investigations and technological advancements. However, controlling these platforms in …

This paper presents a novel approach based on multi-agent reinforcement learning for
spacecraft formation flying reconfiguration tracking problems. In this scheme, spacecrafts …

As the complexity of space missions increases, the constraints on satellite attitude control
become more stringent, particularly for satellites working in orbit formation. This paper …

Abstract At the European Space Agency (ESA), Modeling and Simulation (M&S) plays a
fundamental role during the lifetime of a spacecraft, being used from the design phase to the …

Heterogeneous constellations are composed of satellites with different structures or
satellites carrying payloads with different functions. Different appearances of satellites and …

The recent advances in space technology are focusing on fully autonomous, real-time, long-
term orbit management and mission planning for large-scale satellite constellations in Low …

The smart ammunition formation (SAF) system model usually has the characteristics of
complexity, time variation, and nonlinearity. With the consideration of random factors, such …