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- W2885449752 abstract "This paper investigates a novel leader-following attitude control approach for spacecraft formation under the preassigned two-layer performance with consideration of unknown inertial parameters, external disturbance torque, and unmodeled uncertainty. First, two-layer prescribed performance is preselected for both the attitude angular and angular velocity tracking errors. Subsequently, a distributed two-layer performance controller is devised, which can guarantee that all the involved closed-loop signals are uniformly ultimately bounded. In order to tackle the defect of statically two-layer performance controller, learning-based control strategy is introduced to serve as an adaptive supplementary controller based on adaptive dynamic programming technique. This enhances the adaptiveness of the statically two-layer performance controller with respect to unexpected uncertainty dramatically, without any prior knowledge of the inertial information. Furthermore, by employing the robustly positively invariant theory, the input-to-state stability is rigorously proven under the designed learning-based distributed controller. Finally, two groups of simulation examples are organized to validate the feasibility and effectiveness of the proposed distributed control approach." @default.
- W2885449752 created "2018-08-22" @default.
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- W2885449752 date "2019-11-01" @default.
- W2885449752 modified "2023-10-14" @default.
- W2885449752 title "Learning-Based Adaptive Attitude Control of Spacecraft Formation With Guaranteed Prescribed Performance" @default.
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- W2885449752 doi "https://doi.org/10.1109/tcyb.2018.2857400" @default.
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