工程科学学报 Chinese Journal of Engineering 神经网络在无人驾驶车辆运动控制中的应用综述 张守武王恒陈鹏张笑语李擎 Overview of the application of neural networks in the motion control of unmanned vehicles ZHANG Shou-wu,WANG Heng.CHEN Peng.ZHANG Xiao-yu,LI Qing 引用本文： 张守武，王恒，陈鹏，张笑语，李擎.神经网络在无人驾驶车辆运动控制中的应用综述.工程科学学报，2022,44(2：235- 243.doi:10.13374j.issn2095-9389.2021.04.23.001 ZHANG Shou-wu,WANG Heng.CHEN Peng,ZHANG Xiao-yu,LI Qing.Overview of the application of neural networks in the motion control of unmanned vehicles[J].Chinese Journal of Engineering,2022,44(2):235-243.doi:10.13374/j.issn2095- 9389.2021.04.23.001 在线阅读View online:https::/oi.org10.13374.issn2095-9389.2021.04.23.001 您可能感兴趣的其他文章 Articles you may be interested in 无人直升机自抗扰自适应轨迹跟踪混合控制 Trajectory-tracking hybrid controller based on ADRC and adaptive control for unmanned helicopters 工程科学学报.2017,39(11)：1743htps:ldoi.org/10.13374.issn2095-9389.2017.11.018 无人驾驶车辆路径跟踪控制研究现状 Current status of path tracking control of unmanned driving vehicles 工程科学学报.2021,43(4：475 https::/1doi.org/10.13374斩.issn2095-9389.2020.11.12.003 基于集成神经网络的剩余寿命预测 Remaining useful life prediction based on an integrated neural network 工程科学学报.2020.42(10：1372htps:/doi.org10.13374.issn2095-9389.2019.10.10.005 多模型自适应控制理论及应用 Survey of multi-model adaptive control theory and its applications 工程科学学报.2020,42(2：135 https::1doi.org/10.13374.issn2095-9389.2019.02.25.006 含有自校正模型的加权多模型自适应控制 Weighted multiple model adaptive control with self-tuning model 工程科学学报.2018,4011)：1389htps:/doi.org10.13374.issn2095-9389.2018.11.013 具有状态约束与输入饱和的全向移动机器人自适应跟踪控制 Adaptive tracking control for omnidirectional mobile robots with full-state constraints and input saturation 工程科学学报.2019,41(9%：1176htps:/1doi.org/10.13374j.issn2095-9389.2019.09.009神经网络在无人驾驶车辆运动控制中的应用综述 张守武 王恒 陈鹏 张笑语 李擎 Overview of the application of neural networks in the motion control of unmanned vehicles ZHANG Shou-wu, WANG Heng, CHEN Peng, ZHANG Xiao-yu, LI Qing 引用本文: 张守武, 王恒, 陈鹏, 张笑语, 李擎. 神经网络在无人驾驶车辆运动控制中的应用综述[J]. 工程科学学报, 2022, 44(2): 235- 243. doi: 10.13374/j.issn2095-9389.2021.04.23.001 ZHANG Shou-wu, WANG Heng, CHEN Peng, ZHANG Xiao-yu, LI Qing. Overview of the application of neural networks in the motion control of unmanned vehicles[J]. Chinese Journal of Engineering, 2022, 44(2): 235-243. doi: 10.13374/j.issn2095- 9389.2021.04.23.001 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2021.04.23.001 您可能感兴趣的其他文章 Articles you may be interested in 无人直升机自抗扰自适应轨迹跟踪混合控制 Trajectory-tracking hybrid controller based on ADRC and adaptive control for unmanned helicopters 工程科学学报. 2017, 39(11): 1743 https://doi.org/10.13374/j.issn2095-9389.2017.11.018 无人驾驶车辆路径跟踪控制研究现状 Current status of path tracking control of unmanned driving vehicles 工程科学学报. 2021, 43(4): 475 https://doi.org/10.13374/j.issn2095-9389.2020.11.12.003 基于集成神经网络的剩余寿命预测 Remaining useful life prediction based on an integrated neural network 工程科学学报. 2020, 42(10): 1372 https://doi.org/10.13374/j.issn2095-9389.2019.10.10.005 多模型自适应控制理论及应用 Survey of multi-model adaptive control theory and its applications 工程科学学报. 2020, 42(2): 135 https://doi.org/10.13374/j.issn2095-9389.2019.02.25.006 含有自校正模型的加权多模型自适应控制 Weighted multiple model adaptive control with self-tuning model 工程科学学报. 2018, 40(11): 1389 https://doi.org/10.13374/j.issn2095-9389.2018.11.013 具有状态约束与输入饱和的全向移动机器人自适应跟踪控制 Adaptive tracking control for omnidirectional mobile robots with full-state constraints and input saturation 工程科学学报. 2019, 41(9): 1176 https://doi.org/10.13374/j.issn2095-9389.2019.09.009