SGD-Based Adaptive NN Control Design for Uncertain Nonlinear Systems

@article{Yang2018SGDBasedAN,
  title={SGD-Based Adaptive NN Control Design for Uncertain Nonlinear Systems},
  author={Xuebo Yang and Xiaolong Zheng and Huijun Gao},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2018},
  volume={29},
  pages={5071-5083}
}
In this paper, a stochastic gradient descent (SGD)-based adaptive neural network (NN) control scheme is presented for a class of uncertain nonlinear systems. The introduction of the SGD algorithm results in a better tracking performance compared with some other adaptive NN methods without using SGD. This is because the proposed SGD-based adaptive NN control strategy provides optimization algorithms for the weights, the widths, and the centers of the NNs, which can achieve a good function… CONTINUE READING

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