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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2014     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 The analysis of the design of the system of pitch adjusting for remote operated vehicle 期刊论文 Sensors and Transducers, 2014, 卷号: 172, 页码: 213-216 作者:  Wu, Peng[1];  Xie, Shaorong[2];  Luo, Jun[3];  Li, Qingmei[4] 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/30 Hydrodynamic coefficients identification and experimental investigation for an underwater vehicle 期刊论文 Sensors and Transducers, 2014, 卷号: 164, 页码: 288-294 作者:  Xie, Shaorong[1];  Li, Qingmei[2];  Wu, Peng[3];  Luo, Jun[4];  Li, Feng[5] 收藏  |  浏览/下载：8/0  |  提交时间：2019/04/30 Pitch Reduction System Design and Control for An Underwater Vehicle 会议论文 11th IEEE International Conference on Mechatronics and Automation (ICMA), 2014-08-03 作者:  Li, Qingmei[1];  Xie, Shaorong[2];  Luo, Jun[3];  Wu, Peng[4];  Chen, Jiqing[5] 收藏  |  浏览/下载：4/0  |  提交时间：2019/04/30 Pitch reduction system  Underwater vehicle  backstepping control  Adaptive backstepping sliding model control   Spherical Robot Linear Motion Deflection Angle Compensation 会议论文 2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2014-01-01 作者:  Xie, Shaorong[1];  Chen, Jiqing[2];  Peng, Yan[3];  Li, Hengyu[4];  Li, Qingmei[5] 收藏  |  浏览/下载：9/0  |  提交时间：2019/04/30 Spherical robot Fuzzy PID control Motion compensation Deflection angle   Depth Adjuster Design and Control for an Underwater Vehicle 会议论文 2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2014-01-01 作者:  Li, Qingmei[1];  Xie, Shaorong[2];  Peng, Yan[3];  Shi, Jianfeng[4];  Wu, Peng[5] 收藏  |  浏览/下载：12/0  |  提交时间：2019/04/30 Underwater Vehicle  depth control  terminal sliding mode control   The Obstacle Avoidance Planning of USV Based on Improved Artificial Potential Field 会议论文 2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2014-01-01 作者:  Xie, Shaorong[1];  Wu, Peng[2];  Peng, Yan[3];  Luo, Jun[4];  Qu, Dong[5] 收藏  |  浏览/下载：3/0  |  提交时间：2019/04/30 obstacle avoidance planning  Unmanned Surface Vehicle  Artificial Potential Field  local minimum