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Your search keyword '"Wang, Yongfu"' showing total 15 results
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15 results on '"Wang, Yongfu"'

2. Correction to: Identification and Localization of Cell Types in the Mouse Olfactory Bulb Using Slide-SeqV2

Author

Fang, Ai, primary, Petentler, Kaitlyn, additional, Price, Andrew, additional, Malloy, Seth, additional, Peterson, Michael, additional, Maddera, Lucinda, additional, Russell, Jonathon, additional, Treese, McKenzie, additional, Li, Hua, additional, Wang, Yongfu, additional, McKinney, Sean, additional, Perera, Anoja, additional, and Yu, C. Ron, additional

Published
2023
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6. List of Contributors

Author

Adachi, Koshi, primary, Barros Bouchet, Maria-Isabel De, additional, Baykara, Mehmet Z., additional, Belin, Michel, additional, Cayer-Barrioz, Juliette, additional, Chen, Xinchun, additional, Chen, Zhe, additional, Crespo, Alexia, additional, Dörr, Nicole, additional, Erdemir, Ali, additional, Fay, Hélène, additional, Ge, Xiangyu, additional, Glatzel, Thilo, additional, Gnecco, Enrico, additional, Gong, Hanjuan, additional, Guo, Dan, additional, Hirano, Motohisa, additional, Kato, Takahisa, additional, Kim, Seong H., additional, Li, Jinjin, additional, Li, Ke, additional, Li, Qunyang, additional, Liu, Chenxu, additional, Liu, Dameng, additional, Liu, Yanmin, additional, Liu, Yuhong, additional, Long, Yun, additional, Luo, Jianbin, additional, Ma, Liran, additional, Ma, Ming, additional, Ma, Tianbao, additional, Makowski, Stefan, additional, Martin, Jean Michel, additional, Mazuyer, Denis, additional, Meng, Yonggang, additional, Meyer, Ernst, additional, Morgado, Nazario, additional, Onodera, Tasuku, additional, Pawlak, Rémy, additional, Ren, Xiaoyong, additional, Righi, M. Clelia, additional, Ristic, Andjelka, additional, Shi, Shuai, additional, Tan, Xinfeng, additional, Wang, Hongdong, additional, Wang, Wei, additional, Wang, Yongfu, additional, Weihnacht, Volker, additional, Wu, Shuai, additional, Xie, Guoxin, additional, Zeng, Qunfeng, additional, Zhang, Chenhui, additional, Zhang, Junyan, additional, and Zheng, Quanshui, additional

Published
2021
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15. Compensating Modeling and Control for Friction Using RBF Adaptive Neural Networks.

Author

Wang, Jun, Liao, Xiaofeng, Yi, Zhang, Wang, Yongfu, Chai, Tianyou, Zhao, Lijie, and Tie, Ming

Abstract

This paper presents an application of a radial basis functions adaptive neural networks for compensating the effects induced by the friction in mechanical system. An adaptive neural networks based on radial basis functions is employed, and a bound on the tracking error is derived from the analysis of the tracking error dynamics. The hybrid controller is a combination of a PD+G controller and a neural networks controller which compensates for nonlinear friction. The proposed scheme is simulated on a single link robot control system. The algorithm and simulations results are described. [ABSTRACT FROM AUTHOR]

Published
2005
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