2022
DOI: 10.1016/j.asr.2021.12.046
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Neural network-based nonsingular fixed-time pose tracking control for spacecraft with actuator faults

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Cited by 10 publications
(3 citation statements)
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“…It can guarantee the real finite-time stability instead of asymptotical stability. Similar to the study in [29,30], we proposed a fault-tolerant nonsingular fixedtime control scheme based on neural networks for spacecraft maneuver mission, which can accelerate the convergence rate and improve control accuracy. A robust FTC algorithm was synthesized by employing a low-pass filter and an auxiliary dynamic system along with adaptive backstepping design, which achieved attitude tracking despite the presence of disturbances, actuator faults, and input saturation [31].…”
Section: Introductionmentioning
confidence: 94%
“…It can guarantee the real finite-time stability instead of asymptotical stability. Similar to the study in [29,30], we proposed a fault-tolerant nonsingular fixedtime control scheme based on neural networks for spacecraft maneuver mission, which can accelerate the convergence rate and improve control accuracy. A robust FTC algorithm was synthesized by employing a low-pass filter and an auxiliary dynamic system along with adaptive backstepping design, which achieved attitude tracking despite the presence of disturbances, actuator faults, and input saturation [31].…”
Section: Introductionmentioning
confidence: 94%
“…The authors of refs. [34] and [35] studied the fixed‐time position tracking control of spacecraft and the fixed‐time attitude tracking control of quadrotor unmanned aerial vehicle with actuator faults, respectively. Although the above‐mentioned studies consider the singularity in the process of fixed‐time control, the controlled system does not consider the NSF form, and does not have a better model generality.…”
Section: Introductionmentioning
confidence: 99%
“…For many research areas and practical applications, the convergence rate of the system error is a critically important index to assess the superiority of a controller, such as spacecraft [ 1 ], mobile robots [ 2 ], manipulators [ 3 ], autonomous underwater vehicles [ 4 ], and others [ 5 , 6 ]. For this indicator, there are various studies about deadbeat control [ 7 ], finite-time control [ 8 ], and fixed-time control [ 9 ].…”
Section: Introductionmentioning
confidence: 99%