Author:
Weng Qi-wang,Yang Jian-min,Liang Qiong-wen,Mao Jing-hang,Guo Xiao-xian
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Ocean Engineering,Renewable Energy, Sustainability and the Environment,Oceanography
Reference22 articles.
1. Bai, W.W., Ren, J.S. and Li, T.S., 2018. Multi-innovation gradient iterative locally weighted learning identification for a nonlinear ship maneuvering system, China Ocean Engineering, 32(3), 288–300.
2. Chen, F., Ganier, H. and Gilson, M., 2013. Refined instrumental variable identification of continuous-time OE and BJ models from irregularly sampled data, IFAC Proceedings Volumes, 46(11), 80–85.
3. Chen, Z.J., 2009. Optimization of neural network based on improved genetic algorithm, 2009 International Conference on Computational Intelligence and Software Engineering, IEEE, Wuhan, China.
4. Deng, K.P. and Ding, F., 2014. Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique, Nonlinear Dynamics, 76(2), 1195–1202.
5. Deng, P., Zeng, L.C. and Liu, Y., 2018. RBF neural network backstepping sliding mode adaptive control for dynamic pressure cylinder electrohydraulic servo pressure system, Complexity, 2018, 4159639.
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2 articles.
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