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@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} }

- Published in IEEE Transactions on Neural Networks and Learning…2018
DOI:10.1109/TNNLS.2018.2790479

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