RBF neural networks based robot non-smooth adaptive control

@article{Dongya2013RBFNN,
  title={RBF neural networks based robot non-smooth adaptive control},
  author={Zhao Dongya and Zhu Quanmin and Li Shaoyuan},
  journal={Proceedings of the 32nd Chinese Control Conference},
  year={2013},
  pages={583-587}
}
A novel non-smooth adaptive robot control is proposed in light of general error decimal power law and RBF neural networks. The corresponding stability analysis is presented to lay a foundation to the safe operation in practice. An illustrative example is used to validate the effectiveness of the proposed approach. 

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