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Artificial Intelligence techniques for GNC design, implementation and verification
The performance of currently available Guidance Navigation and Control (GNC) systems for space is limited by unmodelled effects or uncertain parameters (e.g. sensor/actuator performances and performance degradations). Artificial Intelligence (AI) techniques based on machine learning could be integrated in GNC systems in order to enable on-line learning of the properties of dynamics, environment, sensors and actuators that limit the available performances.
Portugal

T705-605SA

DEIMOS ENGENHARIA S.A.
Magnetic Field Perturbations by Thermo-Electric Effects

The technical activities covered in this project allowed the creation of several numerical tools that can predict the thermoelectric/thermomagnetic response to different thermal loading conditions, material properties (thermal and electrical) and geometrical configurations.

Several numerical studies were performed using both commercial and dedicated numerical analysis procedures for the assessment of the thermoelectric behaviour of simple geometries under specific thermal loading conditions.

Portugal

15/016-a

CRITICAL MATERIALS S.A.

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