2017
DOI: 10.1016/j.jfranklin.2017.04.018
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Adaptive fuzzy finite-time control for spacecraft formation with communication delays and changing topologies

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Cited by 30 publications
(18 citation statements)
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“…In addition, the fuzzy control scheme to approximate the disturbance of the spacecraft has been successfully applied, and it is effective to combine the adaptive fuzzy controller of NFTSMC in [30,31] to reject the system uncertainty. Zhang et al [32] applied fuzzy adaptive finite-time control to the 6-DOF SFF system and achieved success when considering the consensus control problem among the followers with signal transmission time delays.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the fuzzy control scheme to approximate the disturbance of the spacecraft has been successfully applied, and it is effective to combine the adaptive fuzzy controller of NFTSMC in [30,31] to reject the system uncertainty. Zhang et al [32] applied fuzzy adaptive finite-time control to the 6-DOF SFF system and achieved success when considering the consensus control problem among the followers with signal transmission time delays.…”
Section: Introductionmentioning
confidence: 99%
“…However, high-attitude tracking control performance is essential for many space missions such as Earth observation, satellite surveillance, navigation, and spacecraft formation flying. [3][4][5] Hence, it is important to realize high-accuracy attitude tracking for flexible spacecraft. [6][7][8] Many methods have been proposed to deal with the problem of flexible vibration for flexible spacecraft.…”
Section: Introductionmentioning
confidence: 99%
“…Flexibility brings unwanted oscillations that will increase the time of adjustment of attitude and seriously affect the precision of attitude control. However, high‐attitude tracking control performance is essential for many space missions such as Earth observation, satellite surveillance, navigation, and spacecraft formation flying 3‐5 . Hence, it is important to realize high‐accuracy attitude tracking for flexible spacecraft 6‐8 …”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, designing controllers for SFF faces great deal of challenges, involving communication delays, actuator failures, input saturation constraints. Therefore, numerous methods including neural network (NN) [8][9] and fuzzy theory [10] are introduced to conquer the forgoing obstacles.…”
Section: Introductionmentioning
confidence: 99%