TY - GEN

T1 - AI methods of control for distributed space systems: a review

AU - Граничин, Олег Николаевич

AU - Тихонов, Алексей Александрович

AU - Иванский, Юрий Владимирович

AU - Копылова, Ксения Денисовна

PY - 2024/9/19

Y1 - 2024/9/19

N2 - The paper is a short review of the problems arising in control of distributed systems of spacecraft due to different kinds of uncertainties and of various AI-based approaches to deal with them. The considered uncertainties are caused by external and internal disturbances of different nature. The methods to deal with the uncertainties include neural networks, fuzzy logic, evolutionary algorithms, randomized algorithms and reinforcement learning.

AB - The paper is a short review of the problems arising in control of distributed systems of spacecraft due to different kinds of uncertainties and of various AI-based approaches to deal with them. The considered uncertainties are caused by external and internal disturbances of different nature. The methods to deal with the uncertainties include neural networks, fuzzy logic, evolutionary algorithms, randomized algorithms and reinforcement learning.

KW - artificial intelligence

KW - attitude control

KW - attitude stabilization

KW - cluster

KW - constellation

KW - disturbances

KW - formation

KW - mega-constellation

KW - satellite

KW - spacecraft

KW - swarm

KW - uncertainties

UR - https://www.mendeley.com/catalogue/3a4c33a1-9e8a-3d53-b0b2-d604933959bb/

U2 - 10.1109/DCNA63495.2024.10718547

DO - 10.1109/DCNA63495.2024.10718547

M3 - Conference contribution

SN - 9798350390834

SP - 79

EP - 82

BT - Conference Proceedings - 8th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2024

T2 - 2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA)

Y2 - 19 September 2024 through 21 September 2024

ER -