Adaptive feedforward RBF neural network control with the deterministic persistence of excitation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06293-z.pdf
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3. Tang Z, Ge SS, Tee KP, He W (2016) Robust adaptive neural tracking control for a class of perturbed uncertain nonlinear systems with state constraints. IEEE Trans Syst Man Cybern Syst 46(12):1618–1629. https://doi.org/10.1109/TSMC.2015.2508962
4. He S, Fang H, Zhang M, Liu F, Luan X, Ding Z (2019) Online policy iterative-based H$$\infty$$ optimization algorithm for a class of nonlinear systems. Inf Sci 495:1–13. https://doi.org/10.1016/j.ins.2019.04.027
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