Add to ORKGIn recent years, thanks to the increase of the know-how on machine-learning techniques and the advance of the computational capabilities of on-board processing, algorithms involving artificial intelligence (i.e. neural networks and fuzzy logics) have began to spread even in the space applications. Nowadays, thanks to these reasons, the implementation of such techniques is becoming realizable even on smaller platforms, such as CubeSats. The paper presents an algorithm for the fault detection and for the fault-tolerant attitude control of a 3U CubeSat, developed in MathWorks Matlab & Simulink environment. This algorithm involves fuzzy logic and multi-layer feed-forward online-trained neural network (percep- tron). It is utilized in a simul...
In recent years, artificial intelligence algorithms have began to spread in various sectors of the a...
The increasing complexity and variety of tasks, the solution of which is placed on automatic systems...
peer reviewedWe explore the feasibility of onboard anomaly detection using artificial neural network...
In recent years, thanks to the increase of the know-how on machine-learning techniques and the advan...
Algorithms involving artificial intelligence (i.e. neural networks and fuzzy logics) have begun to s...
ISBN 2-913329-19-5The so-called intelligent control techniques, such as Artificial Neural Networks a...
CubeSats are employed in a variety of missions as scientific platforms, low-cost technology demonstr...
The nonlinear behavior exhibited by altitude control system processes and also the presence of exter...
This paper proposes a novel satellite attitude Active Fault Tolerant Control System. The Active Faul...
The main objective of this thesis is to develop a methodology for detecting and isolating faults (i....
This paper proposes a novel satellite attitude Active Fault Tolerant Control System. The Active Faul...
In this article, we develop attitude tracking control methods for spacecraft as rigid bodies against...
AbstractFuzzy logic can be used advantageously in autonomous orbital operations that require the cap...
This paper introduces a new technique to control spacecraft maneuvers. The new technique is based u...
This paper develops a fault-tolerant attitude controller for next-generation nanosatellites. The pro...
In recent years, artificial intelligence algorithms have began to spread in various sectors of the a...
The increasing complexity and variety of tasks, the solution of which is placed on automatic systems...
peer reviewedWe explore the feasibility of onboard anomaly detection using artificial neural network...
In recent years, thanks to the increase of the know-how on machine-learning techniques and the advan...
Algorithms involving artificial intelligence (i.e. neural networks and fuzzy logics) have begun to s...
ISBN 2-913329-19-5The so-called intelligent control techniques, such as Artificial Neural Networks a...
CubeSats are employed in a variety of missions as scientific platforms, low-cost technology demonstr...
The nonlinear behavior exhibited by altitude control system processes and also the presence of exter...
This paper proposes a novel satellite attitude Active Fault Tolerant Control System. The Active Faul...
The main objective of this thesis is to develop a methodology for detecting and isolating faults (i....
This paper proposes a novel satellite attitude Active Fault Tolerant Control System. The Active Faul...
In this article, we develop attitude tracking control methods for spacecraft as rigid bodies against...
AbstractFuzzy logic can be used advantageously in autonomous orbital operations that require the cap...
This paper introduces a new technique to control spacecraft maneuvers. The new technique is based u...
This paper develops a fault-tolerant attitude controller for next-generation nanosatellites. The pro...
In recent years, artificial intelligence algorithms have began to spread in various sectors of the a...
The increasing complexity and variety of tasks, the solution of which is placed on automatic systems...
peer reviewedWe explore the feasibility of onboard anomaly detection using artificial neural network...