RBF neural networks based robot non-smooth adaptive control

摘要

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.