Nonlinear system modeling using self-organizing fuzzy neural networks for industrial applications
Author:
Funder
the General Program of National Natural Science of China
“333” Project in Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-020-01645-z.pdf
Reference68 articles.
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4. Li DP, Liu YJ, Tong S, Chen CP, Li DJ (2019) Neural networks-based adaptive control for nonlinear state constrained systems with input delay. IEEE Transactions on Cybernetics 49(4):1249–1258
5. Tan KH, Lin FJ, Shih CM, Kuo CN (2019) Intelligent control of microgrid with virtual inertia using recurrent probabilistic wavelet fuzzy neural network. IEEE Trans Power Electron. https://doi.org/10.1109/TPEL.2019.2954740
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