Vu Mai The,Le TatHien,Thanh Ha Le Nhu Ngoc,Huynh TuanTu,Van Mien,Hoang QuocDong,Do Ton Duc.Robust Position Control of an Over-actuated Underwater Vehicle under Model Uncertainties and Ocean Current Effects Using Dynamic Sliding Mode Surface and Optimal Allocation Control[J].Sensors,2021(3).

original> .Survey on Fuzzy-Logic-Based Guidance and Control of Marine Surface Vehicles and Underwater Vehicles[J].International Journal of Fuzzy Systems,2018.

Ning Wang,Shuailin Lv,Weidong Zhang,Zhongzhong Liu,Meng Joo Er.Finite-time observer based accurate tracking control of a marine vehicle with complex unknowns[J].Ocean Engineering,2017.

Chen Dawei.Research on Traffic Flow Prediction in the Big Data Environment Based on the Improved RBF Neural Network[J].IEEE Transactions on Industrial Informatics,2017.

Rodrigo Hernández-Alvarado,Luis Govinda García-Valdovinos,Tomás Salgado-Jiménez,Alfonso Gómez-Espinosa,Fernando Fonseca-Navarro.Neural Network-Based Self-Tuning PID Control for Underwater Vehicles[J].Sensors,2016.

邓杰,文家雄,杨礼萍,苟良英.基于工业环境下复合机器人设计[J].传感器与微系统,2024(06).

唐军,王子梦,罗瑞智.基于乘性扩展卡尔曼滤波的水下机器人姿态估计[J].传感器与微系统,2022(11).

许海洋,郭玉英.基于极值搜索算法的四旋翼姿态PID控制[J].传感器与微系统,2022(04).

赵岩,周秦源,邵念锋,卢日荣,胡贤哲.基于RBF神经网络模糊PID控制的电液伺服系统[J].机电工程,2022(02).

张丽君,段昌盛,赫桂梅.基于改进模糊控制的并联机器人运动路径跟踪研究[J].传感器与微系统,2021(10).

徐博,李盛新,金坤明,王连钊.基于径向基函数神经网络辅助容积卡尔曼滤波的多自主水下航行器协同定位方法[J].兵工学报,2019(10).

花晓蕾,唐慧强,张红燕,张丽萍.基于RBF神经网络的空间插值法在空气质量监测中的应用[J].传感器与微系统,2015(01).