Learning from adaptive neural network control of an underactuated rigid spacecraft

@article{Zeng2015LearningFA,
  title={Learning from adaptive neural network control of an underactuated rigid spacecraft},
  author={Wei Zeng and Qinghui Wang},
  journal={Neurocomputing},
  year={2015},
  volume={168},
  pages={690-697}
}
In this paper, based on recently developed deterministic learning (DL) theory, we investigate the problem of stabilization for an underactuated rigid spacecraft with unknown system dynamics. Our objective is to learn the unknown underactuated system dynamics while tracking to a desired orbit and design the control law to achieve stabilization. First, the system dynamic and kinematic equations are given, the kinematic equation is described by the (w, z) parametrization. Second, an adaptive… CONTINUE READING

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