[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 …
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 …
Optimization-based scheduling method for agile earth-observing satellite constellation
This Paper proposes a two-step binary linear programming formulation for task scheduling
of a constellation of low-Earth-orbit satellites and demonstrates its applicability and …
of a constellation of low-Earth-orbit satellites and demonstrates its applicability and …
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem
Abstract The Multi-satellite Tracking Telemetry and Command (TT&C) Scheduling, a multi-
constrained and high-conflict complex combinatorial optimization problem, is a typical NP …
constrained and high-conflict complex combinatorial optimization problem, is a typical NP …
A two-phase scheduling method with the consideration of task clustering for earth observing satellites
G Wu, J Liu, M Ma, D Qiu - Computers & Operations Research, 2013 - Elsevier
Satellite observation scheduling plays a significant role in improving the efficiency of satellite
observation systems. Although extensive scheduling algorithms have been proposed for the …
observation systems. Although extensive scheduling algorithms have been proposed for the …
Satellite scheduling of large areal tasks for rapid response to natural disaster using a multi-objective genetic algorithm
X Niu, H Tang, L Wu - International journal of disaster risk reduction, 2018 - Elsevier
Earth satellite observations are very useful during the response phase of disaster
management, since satellites could provide accurate, frequent and almost instantaneous …
management, since satellites could provide accurate, frequent and almost instantaneous …
Multi-satellite control resource scheduling based on ant colony optimization
Z Zhang, N Zhang, Z Feng - Expert Systems with Applications, 2014 - Elsevier
The multi-satellite control resource scheduling problem (MSCRSP) is a kind of large-scale
combinatorial optimization problem. As the solution space of the problem is sparse, the …
combinatorial optimization problem. As the solution space of the problem is sparse, the …
Multi-satellites imaging scheduling using individual reconfiguration based integer coding genetic algorithm
E Zhibo, R Shi, L Gan, H Baoyin, J Li - Acta Astronautica, 2021 - Elsevier
Scheduling for the Earth observation satellite (EOS) imaging mission is generally
considered as a complicated combinatorial optimization problem subjected to various …
considered as a complicated combinatorial optimization problem subjected to various …
Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy
Efficient scheduling is significant for the effective use of scarce satellite resources. Task
clustering has been demonstrated as an effective strategy for improving the efficiency of …
clustering has been demonstrated as an effective strategy for improving the efficiency of …
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 …