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姚鹏
澳门新葡萄京app下载:卞玉龙??发布时间:2018-03-26?? 浏览次数:5742

姓名:姚鹏

职称/职务:讲师

专业:自动化

所在单位(系、所、中心等):自动化及测控系

通讯地址:青岛市崂山区松岭路238号澳门新葡萄京app下载2号楼207室(X-111信箱)

电子信箱:yp@ouc.edu.cn; yaopenghappy@163.com

学习经历:

1. 2011.9-2017.7北京航空航天大学导航、制导与控制,工学博士(硕-博连读)

2.2007.9-2011.6山东大学自动化,工学学士

工作经历

2017.7-至今澳门新葡萄京娱乐网站澳门新葡萄京app下载自动化及测控系,讲师/博士后

  

研究领域

无人系统(无人机、水下机器人等)路径规划与智能决策、多机协同轨迹优化与编队控制、目标检测与识别

  

讲授课程
1. C++程序设计

2. 程序设计综合实训

  

科研项目及角色

复杂海洋环境下面向目标搜索任务的AUV路径规划方法研究,国家自然科学基金,2020.1-2022.12,项目负责人

面向海上突发事件应急监控的无人机协同目标快速搜索与对峙跟踪技术,山东省自然科学基金,2018.3-2020.6,项目负责人

面向自主避障与同时集结任务的AUV路径规划理论与方法,中国博士后科学基金,2017.11-2019.11,项目负责人

复杂海洋环境下自主式水下飞行器路径规划技术研究,中央高校基本科研业务费专项资金,2017.10-2019.12,项目负责人

  

学术兼职:

1. 美国电气和电子工程师协会(IEEE)会员;

2.《无人系统技术》青年编委;

3.  IEEE Transactions on Control Systems TechnologyIEEESystems Journal, Aerospace Science and Technology等期刊审稿人

  

学术成就、奖励及荣誉:

1. 第一编辑或通讯编辑身份在TCSTISJNODY、《自动化学报》等权威期刊或会议上发表学术论文20余篇,其中SCI 检索论文14篇,EI检索论文 6谷歌 Scholar数据库引用300余次

2. 以第一发明人身份申请国家发明专利5项;

3. 2018年北京航空航天大学优秀博士学位论文;

4. 2016年博士研究生国家奖学金。

  

代表性论著:

[1] Peng Yao*, Zexiao Xie, Ping Ren. Optimal UAV Route Planning for Coverage Search of Stationary Target in River [J]. IEEE Transactions on Control Systems Technology, 2019, 27(2): 822-829. (SCI)

[2] Peng Yao*, Zhiyao Zhao, Qian Zhu. Path Planning for Autonomous Underwater Vehicles with Simultaneous Arrival in Ocean Environment [J]. IEEE Systems Journal, 2019, DOI: 10.1109/JSYST.2019.2937346 (SCI)

[3] Shengbo Qi, Peng Yao*. Persistent Tracking of Maneuvering Target Using IMM Filter and DMPC via Initialization-Guided Game Approach [J].IEEE Systems Journal, 2019, DOI: 10.1109/JSYST.2019.2891056 (SCI)

[4] Yanxiang Wang, Peng Yao*, Yuebin Lun, et al. Cooperative standoff tracking of target in non-wide area using multi-UAVs with optical cameras [J]. Optics Express, 2019, 27(18): 25688-25707. (SCI)

[5] Peng Yao*, Yangguang Cai, Qian Zhu. Time-optimal trajectory generation for aerial coverage of urban building [J]. Aerospace Science and Technology, 2019, 84: 387-398. (SCI)

[6] PengYao*, Shengbo Qi.Obstacle-avoidingpath planning formultiple autonomous underwater vehicles with simultaneous arrival [J]. SCIENCE CHINATechnological Sciences, 2019, 62(1): 121-132. (SCI)

[7] Yuying Wang, Peng Yao*, Yanmei Dou. Monitoring trajectory optimization for unmanned surface vessel in sailboat race [J]. Optik, 2019, 176: 394-400. (SCI)

[8] Peng Yao, Shiqiang Zhao*. Three-Dimensional Path Planning for AUV Based on Interfered Fluid Dynamical System Under Ocean Current (June 2018) [J]. IEEE Access, 2018, 6: 42904-42916. (SCI)

[9] Peng Yao, Honglun Wang*, Hongxia Ji. Gaussian Mixture Model and Receding Horizon Control for Multiple UAV Search in Complex Environment [J]. Nonlinear Dynamics, 2017, 88(2): 903-919. (SCI)

[10] Peng Yao, Honglun Wang*. Dynamic Adaptive Ant Lion Optimizer applied to route planning for unmanned aerial vehicle [J]. Soft Computing, 2017, 21: 5475-5488. (SCI)

[11] Peng Yao, Honglun Wang*, Zikang Su. Cooperative path planning with applications to target tracking and obstacle avoidance for multi-UAVs [J]. Aerospace Science and Technology, 2016, 54:10-22. (SCI)

[12] Peng Yao, Honglun Wang*, Hongxia Ji. Multi-UAVs Tracking Target in Urban Environment by Model Predictive Control and Improved Grey Wolf Optimizer [J]. Aerospace Science and Technology, 2016, 55: 131-143. (SCI)

[13] Peng Yao, Honglun Wang*, Zikang Su. Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment [J]. Aerospace Science and Technology, 2015, 47: 269-279. (SCI)

[14] Yao Peng, Wang Honglun*, Su Zikang. UAV feasible path planning based on disturbed fluid and trajectory propagation [J]. Chinese Journal of Aeronautics, 2015, 28(4): 1163-1177. (SCI)

[15] Peng Yao*, Xiaodong Wang, Ke Yi. Optimal Search for Marine Target Using Multiple Unmanned Aerial Vehicles [C]. 2018 37th Chinese Control Conference (CCC), Wuhan, China, 2018: 4552-4556. (EI)

[16] Peng Yao*, Honglun Wang, Zikang Su. Hybrid UAV path planning based on interfered fluid dynamical system and improved RRT [C]. The 41st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, Japan, 2015: 829-834. (EI)

[17] Peng Yao*, Honglun Wang, Chang Liu, 3-D dynamic path planning for UAV based on interfered fluid flow [C]. Proceedings of 2014 IEEE Chinese guidance, navigation and control conference, Yantai, China, 2014: 997-1002. (EI)

[18] 姚鹏*,解则晓.基于修正导航向量场的AUV自主避障方法[J]. 自动化学报2019, DOI: 10.16383/j.aas.c180219 (EI)

[19] 姚鹏, 王宏伦*,基于改进流体扰动算法与灰狼优化的无人机三维航路规划,控制与决策, 2016, 31(4): 701-708. (EI)

[20] 姚鹏, 王宏伦*, 刘畅, 基于动态流体扰动原理的三维滚动航路规划, 北京航空航天大学学报, 2015, 41(12): 2280-2287. (EI)

  

申请专利:

[1]姚鹏,杨睿,任凭.水下飞行器路径规划算法.申请号:201711193718.7 (中国发明专利)

[2] 姚鹏,王琨,解则晓.应用于河流目标搜索任务的无人机航迹规划算法.申请号:201711403481.0 (中国发明专利)

[3] 姚鹏, 迟书凯, 任凭,王琨,解则晓.基于时间最优的无人机跟踪水上目标的方法.申请号:201810438222.X (中国发明专利)

[4]姚鹏, 任凭, 王琨, 迟书凯, 解则晓.多无人机协同搜索水上目标的方法.申请号:201810501633.9 (中国发明专利)

[5]姚鹏, 杨睿, 任凭, 迟书凯, 王琨, 解则晓. 多水下机器人协同路径规划方法.申请号:201910370228.6 (中国发明专利)

  

  

Resume in English

Peng Yao

Title: Lecturer

Department: Automation

Address: Room 2-207 (Letter box X-111), College of Engineering, Ocean University of China, 238 Songling Road, Laoshan District, Qingdao, P.R. China, 266100

E-mail:yp@ouc.edu.cn; yaopenghappy@163.com

  

Education

1. 2011.9-2017.7Beihang UniversityPh.D. inGuidance, Navigation and Control

2. 2007.9-2011.6Shandong UniversityEng. B. in Automation

  

Work Experience

2017.7-Now, Lecturer/Postdoctor, College of Engineering, Ocean University of China

  

Research Interests

Path planning and intelligent decision of unmanned system (e.g., UAV, AUV);

Cooperative trajectory optimization and formation control of multi-robots;

Target detection and recognition.

  

Courses

1. C++ programming

2. Comprehensive practical training of programming

  

Research Projects

1. Research on AUV Planning Approach for Target Search Mission inComplex Ocean Environment.National Natural Science Foundation of China. 2020.1-2022.12, project leader.

2. Efficient Search and Standoff Tracking of Target Using UAVs for Maritime Emergency Monitoring. Shandong Provincial Natural Science Foundation, China. 2018.3-2020.6, project leader.

3. Theory and Method of AUV Path Planning for Autonomous Obstacle Avoidance and Simultaneous Rendezvous. China Postdoctoral Science Foundation. 2017.11-2019.11, project leader.

4. Research on AUV Path Planning in Complex Ocean Environment. Fundamental Research Funds for the Central Universities. 2017.10-2019.12, project leader.

  

SelectedPublications

[1] Peng Yao*, Zexiao Xie, Ping Ren. Optimal UAV Route Planning for Coverage Search of Stationary Target in River [J]. IEEE Transactions on Control Systems Technology, 2019, 27(2): 822-829. (SCI)

[2] Peng Yao*, Zhiyao Zhao, Qian Zhu. Path Planning for Autonomous Underwater Vehicles with Simultaneous Arrival in Ocean Environment [J]. IEEE Systems Journal, 2019, DOI: 10.1109/JSYST.2019.2937346 (SCI)

[3] Shengbo Qi, Peng Yao*. Persistent Tracking of Maneuvering Target Using IMM Filter and DMPC via Initialization-Guided Game Approach [J].IEEE Systems Journal, 2019, DOI: 10.1109/JSYST.2019.2891056 (SCI)

[4] Yanxiang Wang, Peng Yao*, Yuebin Lun, et al. Cooperative standoff tracking of target in non-wide area using multi-UAVs with optical cameras [J]. Optics Express, 2019, 27(18): 25688-25707. (SCI)

[5] Peng Yao*, Yangguang Cai, Qian Zhu. Time-optimal trajectory generation for aerial coverage of urban building [J]. Aerospace Science and Technology, 2019, 84: 387-398. (SCI)

[6] Peng Yao*, Shengbo Qi. Obstacle-avoiding path planning for multiple autonomous underwater vehicles with simultaneous arrival [J]. SCIENCE CHINA Technological Sciences, 2019, 62(1): 121-132. (SCI)

[7] Yuying Wang, Peng Yao*, Yanmei Dou. Monitoring trajectory optimization for unmanned surface vessel in sailboat race [J]. Optik, 2019, 176: 394-400. (SCI)

[8] Peng Yao, Shiqiang Zhao*. Three-Dimensional Path Planning for AUV Based on Interfered Fluid Dynamical System Under Ocean Current (June 2018) [J]. IEEE Access, 2018, 6: 42904-42916. (SCI)

[9] Peng Yao, Honglun Wang*, Hongxia Ji. Gaussian Mixture Model and Receding Horizon Control for Multiple UAV Search in Complex Environment [J]. Nonlinear Dynamics, 2017, 88(2): 903-919. (SCI)

[10] Peng Yao, Honglun Wang*. Dynamic Adaptive Ant Lion Optimizer applied to route planning for unmanned aerial vehicle [J]. Soft Computing, 2017, 21: 5475-5488. (SCI)

[11] Peng Yao, Honglun Wang*, Zikang Su. Cooperative path planning with applications to target tracking and obstacle avoidance for multi-UAVs [J]. Aerospace Science and Technology, 2016, 54:10-22. (SCI)

[12] Peng Yao, Honglun Wang*, Hongxia Ji. Multi-UAVs Tracking Target in Urban Environment by Model Predictive Control and Improved Grey Wolf Optimizer [J]. Aerospace Science and Technology, 2016, 55: 131-143. (SCI)

[13] Peng Yao, Honglun Wang*, Zikang Su. Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment [J]. Aerospace Science and Technology, 2015, 47: 269-279. (SCI)

[14] Yao Peng, Wang Honglun*, Su Zikang. UAV feasible path planning based on disturbed fluid and trajectory propagation [J]. Chinese Journal of Aeronautics, 2015, 28(4): 1163-1177. (SCI)

[15] Peng Yao*, Xiaodong Wang, Ke Yi. Optimal Search for Marine Target Using Multiple Unmanned Aerial Vehicles [C]. 2018 37th Chinese Control Conference (CCC), Wuhan, China, 2018: 4552-4556. (EI)

[16] Peng Yao*, Honglun Wang, Zikang Su. Hybrid UAV path planning based on interfered fluid dynamical system and improved RRT [C]. The 41st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, Japan, 2015: 829-834. (EI)

[17] Peng Yao*, Honglun Wang, Chang Liu, 3-D dynamic path planning for UAV based on interfered fluid flow [C]. Proceedings of 2014 IEEE Chinese guidance, navigation and control conference, Yantai, China, 2014: 997-1002. (EI)


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