个人简介

科研经历

主要从事智能船舶制导与控制、无人船集群控制等方面的研究工作。主持参与国家自然科学基金重点项目、国家重点研发计划、国家自然科学基金等国家级项目7项。在OE（海洋工程领域权威期刊，Top1期刊）、IEEE JOE（海洋工程领域权威期刊，Top3期刊）、IEEE TSMCA（1区，Top1期刊）、IEEE TNNLS（1区，Top3期刊）、IEEE TCYB（1区，Top3期刊）等行业重要国际期刊和会议上发表SCI/EI检索论文68篇，其中SCI期刊论文34篇，第一/通讯作者SCI检索论文17篇，JCR一区论文25篇，TOP3期刊11篇；出版国内外首部无人船集群协同控制专著1部；申请/授权国家发明专利61项，授权15项。获教育部高等学校科学研究优秀成果二等奖1项，中国海洋工程科学技术一等奖1项，第六届自动化控制和机器人工程国际会议青年科学家奖1项。研究论文获辽宁省自然科学学术成果奖2项，辽宁省船舶与海洋工程优秀论文一等奖1项，交通运输重大科技创新成果1项，辽宁省优秀博士学位论文1项。获辽宁省百千万人才工程万层次人才，辽宁省造船工程学会优秀青年科技工作者，航海类优秀青年教师，“五四”青年奖章等荣誉。指导研究生获“兆易创新杯”中国研究生电子设计竞赛东北赛区团队一等奖3项，全国总决赛三等奖1项。

教育经历

2008.09-2012.07bat365在线平台官网电气工程及其自动化专业 本科

2012.09-2018.07bat365在线平台官网船舶电气工程专业 硕博连读

工作经历

2018.10-2020.06 bat365在线平台官网 讲师

2020.07-至今 bat365在线平台官网 副教授

2019.01-至今 上海交通大学控制科学与工程流动站 博士后

奖励荣誉

1.2021年 高等学校科学研究优秀成果奖二等奖

2.2020年海洋工程科学技术一等奖

3.2020年 入选辽宁省“百千万人才工程”万层次人才

4.2020年 辽宁省优秀博士论文欠驱动无人船路径跟踪与协同控制

5.2019年 交通运输重大科技创新成果

6.2019年 获辽宁省自然科学学术成果奖三等奖

7.2019年获辽宁省船舶与海洋工程优秀论文一等奖

8.2019年获辽宁省造船工程学会优秀青年科技工作者

9.2018年获辽宁省自然科学学术成果奖三等奖

科研项目

1.国家自然科学基金青年基金，基于事件触发机制的多无人船分布式协同制导与控制，2020.01-2022.12，主持

2.中国博士后基金一等资助，复杂海洋环境下非合作目标的多无人艇协同跟踪，2019.6-2021.06，主持

3.辽宁省博士科研启动基金计划项目，网络化无人船的协同目标估计与跟踪控制，2020-05-01-2022-04-30，主持

4.中央高校基本业务费，基于事件驱动通信的多船舶协同制导，2019.01-2019.12，主持

5.中央高校基本业务费，网络环境下的无人船扰动估计与跟踪控制研究，2020.01-2020.12，主持

6.国家自然科学基金重点项目，海洋航行器自主航行关键技术研究，2020.01-2024.12，参与

7.国家重点研发计划，圆碟形水下滑翔机关键技术与装备研发，2016.05-2019.05，参与

8.国家自然科学基金面上项目，基于能耗优化的群体协同及海洋航行器应用，2020.01-2023.12，参与

9.国家自然科学基金面上项目，基于深度强化学习的无人艇集群类脑决策与控制，2020.1-2023.12，参与

10.国家自然科学基金面上项目，不确定非线性多个体系统的协同操纵控制及海洋航行器应用，2017.01-2020.12，参与

11.国家自然科学基金面上项目，面向任务区域的网络互连ASV群协同跟踪控制及验证，2016.1-2019.12，参与

专著论文

1.彭周华，刘陆，王丹，王浩亮，“无人船集群协同控制理论与实践”，北京：科学出版社，2021.

2. Lu Liu , Dan Wang , Zhouhua Peng , and Qing-Long Han，"Distributed path following of multiple under-actuated autonomous surface vehicles based on data-driven neural predictors via integral concurrent learning"，IEEE Transactions on Neural Networks and Learning Systems, 2021,DOI: 10.1109/TNNLS.2021.3100147.[SCI]

3. Lu Liu, Dan Wang, Zhouhua Peng, Tieshan Li, and C. L. Philip Chen, "Cooperative path following of ring-networked under-actuated autonomous surface vehicles: Algorithms and experiment results", IEEE Transactions on Cybernetics, vol.50,no.4, pp.1519-1529, 2020. [SCI]

4. Lu Liu, Dan Wang, Zhouhua Peng, C. L. Philip Chen, and Tieshan Li, "Bounded neural network control for target tracking of underactuated autonomous surface vehicles in the presence of uncertain target dynamics",IEEE Transactions on Neural Networks and Learning Systems, vol.30,no.4,pp.1241-1249,2019. [SCI]

5. Lu Liu, Dan Wang, Zhouhua Peng, and Tieshan Li, "Modular adaptive control for LOS-based cooperative path maneuvering of multiple underactuated autonomous surface vehicles", IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.47, no.7, pp.1613-1624, 2017. [SCI]

6. Lu Liu, Dan Wang, and Zhouhua Peng, "ESO-based line-of-sight guidance law for path following of underactuated marine surface vehicles with exact sideslip compensation", IEEE Journal of Oceanic Engineering, vol.42, no.2, pp.477-487,2017. [SCI]

7. Lu Liu, Weidong Zhang, Dan Wang, and Zhouhua Peng, " Event-triggered extended state observers design for dynamic positioning vessels subject to unknown sea loads", Ocean Engineering,vol.209, no. 107242, 2020. [SCI]

8. Lu Liu, Dan Wang, and Zhouhua Peng, "State recovery and disturbance estimation of unmanned surface vehicles based on nonlinear extended state observers", Ocean Engineering,vol.171,pp.625-632,2019. [SCI]

9. Lu Liu, Dan Wang, and Zhouhua Peng, "Predictor-based LOS guidance law for path following of underactuated marine surface vehicles with sideslip compensation", Ocean Engineering, vol.24, pp. 340-348, 2016.[SCI]

10. Lu Liu, Dan Wang, and Zhouhua Peng, "Coordinated path following of multiple underacutated marine surface vehicles along one curve", ISA Transactions, vol.64, pp.258-268, 2016. [SCI]

11. Lu Liu, Dan Wang, and Zhouhua Peng, "Direct and composite iterative neural control for cooperative dynamic positioning of marine surface vessels", Nonlinear Dynamics, vol. 81, no.3, pp.1315-1328, 2015. [SCI]

12. Lu Liu, Dan Wang, and Zhouhua Peng, "Path following of marine surface vehicles with dynamical uncertainty and time-varying ocean disturbances ", Neurocomputing, vol.173, pp.799-808, 2015.[SCI]

13.Lu Liu, Dan Wang, Zhouhua Peng, and H.T. Hugh Liu, "Saturated coordinated control of multiple underactuated unmanned surface vehicles over a closed curve", SCIENCE CHINA Information Science, vol.60, no.7, pp.070203,2017. [SCI]

14. Zhouhua Peng, Chengcheng Meng, Lu Liu Dan Wang，Tieshan Li, "PWM-driven model predictive speed control for an unmanned surface vehicle with unknown propeller dynamics based on parameter identification and neural prediction, " Neurocomputing, vol. 432, pp. 1-9, 2021.

15. Zhouhua Peng, Lu Liu, and Jun Wang, "Output-feedback flocking control of multiple autonomous surface vehicles based on data-driven adaptive extended state observers, " IEEE Transactions on Cybernetics, 2020, DOI: 10.1109/TCYB.2020.3009992.[SCI]

16. Zhouhua Peng, Nan Gu, Yu Zhang, Yunjie Liu, Dan Wang, and Lu Liu, "Path-guided time-varying formation control with collision avoidance and connectivity preservation of under-actuated autonomous surface vehicles subject to unknown input gains,” Ocean Engineering, vol. 191, no. 106501, pp. 106501:1-106501:10, 2019. [SCI]

17. Shengnan Gao, Zhouhua Peng, Lu Liu, Haoliang Wang, and Dan Wang, "Coordinated target tracking by multiple unmanned surface vehicles with communication delays based on a distributed event-triggered extended state observer, " Ocean Engineering, 2020.[SCI]

18. Nan Gu, Zhouhua Peng, Dan Wang, Lu Liu, and Yue Jiang, "Nonlinear observer design for a robotic unmanned surface vehicle with experiment results, " Applied Ocean Research, vol. 95, art no. 102028, pp. 102028:1-102028:7, 2020, DOI: 10.1016/j.apor.2019.102028. [SCI]

19. Yue Jiawang, Liu Lu, Peng Zhouhua, Wang Dan, Li Tieshan. "Data-driven adaptive extended state observer design for autonomous surface vehicles with unknown input gains based on concurrent learning"，Neurocomputing,2021, DOI:10.1016/j.neucom.2021.09.062. [SCI]

20. Zhouhua Peng, Dan Wang, Wei Wang, and Lu Liu, "Neural adaptive steering of an unmanned Surface vehicle with measurement noises", Neurocomputing, vol. 186, pp. 228-234, 2016.[SCI]

21. Zhouhua Peng, Dan Wang, Wei Wang, and Lu Liu, "Containment control of networked autonomous underwater vehicles: A predictor-based neural DSC design", ISA Transactions, vol.59, pp.160-171, 2015. [SCI]

22. Zhouhua Peng,Nan Gu,Yu Zhang, Yunjie Liu, Dan Wang, Lu Liu, "Path-guided time-varying formation control with collision avoidance and connectivity preservation of under-actuated autonomous surface vehicles subject to unknown input gains, " Ocean Eningeering,vol.191, 2019.[SCI]

23. Nan Gu, Dan Wang, Zhouhua Peng, and Lu Liu, "Observer-based finite-time control for distributed path maneuvering of underactuated unmanned surface vehicles with collision avoidance and connectivity preservation," IEEE Transactions on Systems, Man and Cybernetics: Systems, 2020, DOI: 10.1109/TSMC.2019.2944521. [SCI]

24. Nan Gu, Dan Wang, Zhouhua Peng, and Lu Liu, "Adaptive bounded neural network control for coordinated path-following of networked underactuated autonomous surface vehicles under time-varying state-dependent cyber-attack, " ISA Transactions, 2019,DOI:10.1016/ j.isatra.2018.12.051.[SCI]

25. Nan Gu, Dan Wang, Zhouhua Peng, and Lu Liu,"Distributed containment maneuvering of uncertain under-actuated unmanned surface vehicles guided by multiple virtual leaders with a formation, " Ocean Engineering, 2019,DOI:10.1016/j.oceaneng.2019. 04.077. [SCI]

26. Yibo Zhang, Dan Wang, Zhouhua Peng, Lu Liu, and Shimin Wang, "Event-triggered control for containment maneuvering of second-order MIMO multi-agent systems with unmatched uncertainties and disturbances, " Chinese Journal of Aeronautics, to be published, 2020, DOI: 10.1016/j.cja.2020.05.008. [SCI]

27. Yibo Zhang, Dan Wang, and Zhouhua Peng, Tieshan Li, and Lu Liu, "Event-triggered ISS-modular neural network control for containment maneuvering of nonlinear strict-feedback multi-agent systems, " Neurocomputing, vol. 377, pp. 314-324, 2020. [SCI]

28. Guanghao Lv, Zhouhua Peng, Haoliang Wang, Lu Liu, Dan Wang, and Tieshan Li, "Extended-state-observer-based distributed model predictive formation control of under-actuated unmanned surface vehicles with collision avoidance, "Ocean Engineering, 2021[SCI]

29. Wentao Wu, Zhouhua Peng, Dan Wang, Lu Liu, Qing-long Han, "Network-based line-of-sight path tracking of underactuated unmanned surface vehicles with experiment results, " IEEE Transactions on Cybernetics, 2021,DOI: 10.1109/TCYB.2021.3074396. [SCI]

30. Mingao Lv, Zhouhua Peng, Dan Wang, Lu Liu and Haoliang Wang, "Event-triggered neural network control of autonomous surface vehicles over wireless network, " Science China Information Science, 2019. [SCI]

31. Siming Cong, Lu Liu, Dan Wang, Zhouhua Peng, "Modular neural dynamic surface control for position tracking of permanent magnet synchronous motor, "Neurocomputing, 2019,DOI: 10.1016/j.neucom.2019.06.017. [SCI]

32. Shengnan Gao, Zhouhua Peng, Dan Wang, and Lu Liu, "Extended-state-observer-based collision-free guidance law for target tracking of autonomous surface vehicles with unknown target dynamics, " Complexity, 2018. [SCI]

33. Haoliang Wang, Lu Liu, Dan Wang,Tianlin Wang,“Output-feedback control for cooperative diving of saucer-type underwater gliders based on a fuzzy observer and event-triggered communication，” IEEE Access, vol. 7, pp. 50453-50465, 2019. [SCI]

34. Wenjie Wu, Dan Wang, Lu Liu, "A multi-layer sequential model predictive control of three-phase two-leg seven-level t-type nested neutral point clamped converter without weighting factors," IEEE Access, 2019. [SCI]

35.C. L. Philip Chen,Dengxiu Yu,Lu Liu, "Automatic leader-follower persistent formation control for autonomous surface vehicles," IEEE Access, vol.7, pp.12146-12155, 2019. [SCI]

36.Haoliang Wang, Lu Liu, Dan Wang, and Tianlin Wang, "Output-feedback control for cooperative diving of saucer-type underwater gliders based on a fuzzy observer and event-triggered communication," IEEE Access, vol. 7, pp. 50453-50465, 2019. [SCI]

发明专利

1.刘陆，蒋宝仪，王丹，彭周华，袁凯鹏，一种永磁同步电动机的位置跟踪控制器及控制方法201910735528.6,

2.刘陆，杨安馨，王丹，彭周华，李铁山，一种模型不确定异步电动机的位置跟踪控制器及控制方法，201910735595.8

3.刘陆，王丹，彭周华，黄自鹏，古楠，一种无人船的碰撞自规避控制器结构及设计方法，201911084367.5

4.刘陆，杨安馨，王丹，彭周华，李铁山，一种模型未知系统的数据驱动控制器，202010177915.5

5.刘陆，杨安馨，王丹，彭周华，李铁山，一种控制参数未知的异步电动机位置跟踪控制器，201911276663.5

6.刘陆，阮明昊，古楠，王丹，彭周华，一种控制增益未知不确定系统的数据驱动抗干扰控制结构，202010099836.7

7.刘陆，古楠，阮明昊，王丹，李铁山，彭周华，一种自适应扩张状态观测器结构，201911287504

8.刘陆，古楠，岳佳旺，李永明，王丹，彭周华，一种数据驱动自适应抗干扰控制器结构及其估计方法，201911136720.X

9.刘陆，岳佳旺，古楠，李永明，王丹，彭周华，一种二阶非线性系统的精确不确定性和控制增益估计方法，201911058957.0

指导学生

1.2020.08，吴文涛，傅琪，黄自鹏，基于多路径导引的移动机器人集群协同防疫控制系统设计，“兆易创新杯”第五届中国研究生电子设计大赛东北赛区团队一等奖，全国三等奖，教育部学位与研究生教育发展中心。

2.2021.06，龚小旋，初庆栋，尹羿博，基于多路径导引的无人船编队集群包围与护航控制系统设计，“兆易创新杯”第十六届中国研究生电子设计竞赛东北赛区团队一等奖，中国学位与研究生教育学会，中国科协青少年科技中心

3.2021.06，岳佳旺，黄自鹏，肖克辛，多路径导引的农业自主移动机器人集群协同作业控制系统研究与设计，“兆易创新杯”第十六届中国研究生电子设计竞赛东北赛区团队一等奖，中国学位与研究生教育学会，中国科协青少年科技中心