[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
A critical review on the state-of-the-art and future prospects of Machine Learning for Earth Observation Operations
Abstract The continuing Machine Learning (ML) revolution indubitably has had a significant
positive impact on the analysis of downlinked satellite data. Other aspects of the Earth …
positive impact on the analysis of downlinked satellite data. Other aspects of the Earth …
Fixed-time sliding-mode distributed consensus and formation control of disturbed fractional-order multi-agent systems
H Zamani, K Khandani, VJ Majd - ISA transactions, 2023 - Elsevier
In this paper, fixed-time consensus and formation control for fractional-order multi-agent
systems with a dynamic virtual leader in the presence of external disturbances is …
systems with a dynamic virtual leader in the presence of external disturbances is …
Deep reinforcement learning-based autonomous mission planning method for high and low orbit multiple agile Earth observing satellites
X Wang, J Wu, Z Shi, F Zhao, Z Jin - Advances in Space Research, 2022 - Elsevier
Concerning the onboard autonomous mission planning problem of high and low orbiting
agile Earth observation satellites (AEOSs), which requires high algorithm timeliness, a deep …
agile Earth observation satellites (AEOSs), which requires high algorithm timeliness, a deep …
Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects
While monolithic satellite missions still pose significant advantages in terms of accuracy and
operations, novel distributed architectures are promising improved flexibility …
operations, novel distributed architectures are promising improved flexibility …
Optimal mission scheduling for hybrid synthetic aperture radar satellite constellation based on weighting factors
H Kim, YK Chang - Aerospace Science and Technology, 2020 - Elsevier
Hybrid synthetic aperture radar (SAR) satellites, unlike active SAR satellites using phased
array antennas, mainly acquire images using mechanical beam steering and, to some …
array antennas, mainly acquire images using mechanical beam steering and, to some …
Self-adaptive systems: A systematic literature review across categories and domains
Context: Championed by IBM's vision of autonomic computing paper in 2003, the autonomic
computing research field has seen increased research activity over the last 20 years …
computing research field has seen increased research activity over the last 20 years …
Intelligent mission planning for autonomous distributed satellite systems
Abstract System autonomy plays a critical role in the success of next generation Distributed
Satellite Systems (DSS) mission architectures, enabling the inference of external and …
Satellite Systems (DSS) mission architectures, enabling the inference of external and …
Application of multi-agent technology in the scheduling system of swarm of earth remote sensing satellites
PO Skobelev, EV Simonova, AA Zhilyaev… - Procedia Computer …, 2017 - Elsevier
The paper studies the problem of scheduling a group of Earth remote sensing satellites. The
following idea is proved: development of Earth remote sensing systems needs changing of …
following idea is proved: development of Earth remote sensing systems needs changing of …
Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products
Z Liu, M Guo, W Bao, Z Li - Research, 2024 - spj.science.org
Efficient coordination and planning is essential for large-scale multi-agent systems that
collaborate in a shared dynamic environment. Heuristic search methods or learning-based …
collaborate in a shared dynamic environment. Heuristic search methods or learning-based …