姓名：高颖

性别：女

职称：讲师

学位：博士

电子邮箱：lutyinggao2013@163.com

学科类别：机械

招生方向/领域：机器人工程

教育经历：

2019.09-2022.06，大连海事大学，船舶电气工程学院，博士；

2024.05至今，大连理工大学，控制科学与工程学院，博士后

工作经历：

2023.01至今，大连民族大学，机电工程学院，讲师

研究领域：

主要致力于无人系统自主规划与控制技术研究，针对无人船航行环境适应性问题，提出了“在线观测-自主学习-分段优化”一体化无模型跟踪控制方法，攻克了航行控制的保性能学习难题；目前，研究成果已在国内外控制领域顶级期刊《IEEE Transactions on Neural Networks and Learning Systems》、《Neurocomputing》、《Fuzzy Sets and Systems》、《International Journal of Fuzzy Systems》、《自动化学报》等发表高水平学术论文20余篇，SCI检索论文10篇，其中入选ESI全球前1%高被引论文3篇，Google学术总引700余次，其中单篇最高引用235余次，多项成果得到正面引用；主持省博士科研启动基金计划项目1项，研究成果《基于数据驱动的无人艇指定性能强化学习控制》获得辽宁省自然科学学术成果一等奖；授权国家发明专利4项。

代表性论著：

1.Ying Gao, Shaocheng Tong, Li Yongming. Observer-based adaptive fuzzy output constrained control for MIMO nonlinear systems with unknown control directions. Fuzzy Sets and Systems, 2016, 290: 79-99.

2.Ying Gao, Shaocheng Tong, Li Yongming. Fuzzy adaptive output feedback DSC design for SISO nonlinear stochastic systems with unknown control directions and dead-zones. Neurocomputing, 2015, 167: 187-194.

3.Ying Gao, Shaocheng Tong. Composite adaptive fuzzy output feedback dynamic surface control design for stochastic large-scale nonlinear systems with unknown dead-zone. Neurocomputing, 2016, 175: 55-64.

4.Ying Gao, Shaocheng Tong. Composite Adaptive fuzzy output feedback dynamic surface control design for uncertain nonlinear stochastic systems with input quantization. International Journal of Fuzzy Systems, 2015, 17(4): 609-622.

5.Ning Wang, Ying Gao, Hong Zhao, Choon Ki Ahn. Reinforcement learning-based optimal tracking control of an unknown unmanned surface vehicle. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(7): 3034-3045.

政府科研奖励成果：

1.基于数据驱动的无人艇指定性能强化学习控制 辽宁省自然科学学术成果一等奖 2023.12

代表性科研项目：

1.基于自主学习的无人艇推进能效优化控制研究, 辽宁省科技厅 2024-2026

其他代表性成果：

1.Ning Wang, Ying Gao, Xuefeng Zhang. Data-driven performance-prescribed reinforcement learning control of an unmanned surface vehicle. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(12): 5456-5467.

2.Ning Wang, Ying Gao, Chen Yang, Xuefeng Zhang. Reinforcement-learning-based finite-time tracking control of an unknown unmanned surface vehicle with input constraints. Neurocomputing, 2022, 484: 26-37.

3.Ning Wang, Ying Gao, Yongjin Liu, Kun Li. Self-learning-based optimal tracking control of an unmanned surface vehicle with pose and velocity constraints. International Journal of Robust and Nonlinear Control, 2022, 32(5): 2950-2968.

4.Ning Wang, Ying Gao, Zhuo Sun. Nussbaum-based adaptive fuzzy tracking control of unmanned surface vehicles with fully unknown dynamics and complex input nonlinearities. International Journal of Fuzzy Systems, 2018, 20(1): 259-268.

5.Ning Wang, Ying Gao, Shuailin Lv, Meng Joo Er. Integral sliding mode based finite-time trajectory tracking control of unmanned surface vehicles with input saturations. Indian Journal of Geo Marine Sciences, 2017, 46: 2493-2501.

指导研究生科研或创新代表性成果：

1.高颖, 路明春, 张汝波, 王宁. 带有推进器故障的无人船自适应优化控制. 水下无人系统学报. 2025, 33(2), 333-340.

2.高颖, 路明春, 张汝波. 基于MPC的无人艇自适应容错控制. 华中科技大学学报(自然科学版), DOI: 10.13245/j.hust.251135.