Fang, Y.;                     Wang, S.;                     Bi, Q.;                     Wu, G.;                     Guan, W.;                     Wang, Y.;                     Yan, C.    
        Research on Path Planning and Trajectory Tracking of an Unmanned Electric Shovel Based on Improved APF and Preview Deviation Fuzzy Control. Machines 2022, 10, 707.
    https://doi.org/10.3390/machines10080707
    AMA Style
    
                                Fang Y,                                 Wang S,                                 Bi Q,                                 Wu G,                                 Guan W,                                 Wang Y,                                 Yan C.        
                Research on Path Planning and Trajectory Tracking of an Unmanned Electric Shovel Based on Improved APF and Preview Deviation Fuzzy Control. Machines. 2022; 10(8):707.
        https://doi.org/10.3390/machines10080707
    
    Chicago/Turabian Style
    
                                Fang, Yi,                                 Shuai Wang,                                 Qiushi Bi,                                 Guohua Wu,                                 Wei Guan,                                 Yongpeng Wang,                                 and Chuliang Yan.        
                2022. "Research on Path Planning and Trajectory Tracking of an Unmanned Electric Shovel Based on Improved APF and Preview Deviation Fuzzy Control" Machines 10, no. 8: 707.
        https://doi.org/10.3390/machines10080707
    
    APA Style
    
                                Fang, Y.,                                 Wang, S.,                                 Bi, Q.,                                 Wu, G.,                                 Guan, W.,                                 Wang, Y.,                                 & Yan, C.        
        
        (2022). Research on Path Planning and Trajectory Tracking of an Unmanned Electric Shovel Based on Improved APF and Preview Deviation Fuzzy Control. Machines, 10(8), 707.
        https://doi.org/10.3390/machines10080707