The design of advanced guidance and control (G&C) systems for space/aerospace vehicles
has received a large amount of attention worldwide during the last few decades and will …

The rapid developments of artificial intelligence in the last decade are influencing aerospace
engineering to a great extent and research in this context is proliferating. We share our …

This paper proposes a finite-time trajectory tracking controller for a space manipulator under
model uncertainty, external disturbance, and actuator saturation. The dynamics of space …

The space environment has become highly congested due to the increasing space debris,
seriously threatening the safety of orbiting spacecraft. Space-based situational awareness …

The uncertainty of wind power as the main obstacle of its integration into the power grid can
be addressed by an accurate and efficient wind power forecast. Among the various wind …

In the design of multitarget interplanetary missions, there are always many options available,
making it often impractical to optimize in detail each transfer trajectory in a preliminary …

Active debris removal (ADR) allows for the disposal of inactive satellites and larger objects,
preventing the build-up of space junk and allowing to replace aging agents in a …

Machine learning (ML) frameworks are investigated for use in simultaneous tracking and
navigation (STAN) with low Earth orbit (LEO) satellites. STAN is a navigation paradigm that …

A hybrid analytical-machine learning (ML) framework for improved low Earth orbit (LEO)
satellite orbit prediction is developed. The framework assumes the following three stages.(i) …

A framework for refining the ephemerides of low Earth orbit (LEO) space vehicles (SVs) is
presented. This framework is based on a known receiver that tracks the LEO SVs using …