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- W4380451240 abstract "This paper presents the design of a safe learning attitude controller, based on the Koopman operator (KO), for rest-to-rest spacecraft attitude reorientation under angular velocity constraints. Specifically, a higher-dimensional linear error attitude model is established based on the KO theory and then discretized. An explicit safe learning control strategy with safety-stabilization guarantee is then developed based on the transformed KO model. By performing a loop transformation and convexifying the safety-stabilization conditions, the safe learning controller design is further transformed into a constrained optimization problem, which is independent of the attitude states and thus can be solved offline. Finally, the trained higher-dimensional safe learning controller is mapped to the three-dimensional attitude controller of the original nonlinear system via the least-squares method for online implementation. In addition, the inner-approximation of the region of attraction (ROA) is provided. Comparison simulations are carried out to validate the effectiveness of the presented strategy." @default.
- W4380451240 created "2023-06-14" @default.
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- W4380451240 date "2023-01-01" @default.
- W4380451240 modified "2023-10-12" @default.
- W4380451240 title "Koopman-Operator-Based Safe Learning Control for Spacecraft Attitude Reorientation With Angular Velocity Constraints" @default.
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- W4380451240 doi "https://doi.org/10.1109/taes.2023.3285725" @default.
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