2023
DOI: 10.1049/cth2.12513
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Optimal attitude consensus control for rigid spacecraft formation based on control Lyapunov functions

Abstract: In this article, the optimal attitude consensus control problem of distributed spacecraft formation through local information exchange is solved in the presence of parameter uncertainty and disturbance. The attitude dynamics model of rigid spacecraft formation is established based on unit quaternion under an undirected graph. Then, the optimal attitude consensus control scheme based on control Lyapunov functions is adopted for rigid spacecraft formation. The approach to construct an appropriate Lyapunov functi… Show more

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Cited by 3 publications
(1 citation statement)
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“…Recently, optimal performance, such as energy consumption, is an essential criterion for MUVs in real applications [8], especially for formation tracking problems. Many designs are based on traditional optimal control methods [9,10]. Note that solving the Hamilton-Jacobi-Bellman (HJB) equation through traditional optimal controllers can be rather complicated, whereas reinforcement learning [11] using neural networks (NNs) can be a powerful weapon for approximating the solutions to optimal control problems.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, optimal performance, such as energy consumption, is an essential criterion for MUVs in real applications [8], especially for formation tracking problems. Many designs are based on traditional optimal control methods [9,10]. Note that solving the Hamilton-Jacobi-Bellman (HJB) equation through traditional optimal controllers can be rather complicated, whereas reinforcement learning [11] using neural networks (NNs) can be a powerful weapon for approximating the solutions to optimal control problems.…”
Section: Introductionmentioning
confidence: 99%