3044am永利(中国)集团官方网站-欢迎您

2011年至2018年，永利集团3044官网欢迎您，永利集团3044官网欢迎您，博士

2007年至2011年，河北大学，电气信息工程学院，学士

2015年1月至2017年1月，美国密苏里科技大学，电气与计算机工程系，访问学者

2018年2月至2019年12月，永利集团3044官网欢迎您，博士后

2020年1月，永利集团3044官网欢迎您，永利集团3044官网欢迎您，控制系，讲师

2020年7月，永利集团3044官网欢迎您，永利集团3044官网欢迎您，控制系，副教授

2020年8月至2021年8月，澳门大学，访问学者

² 无人驾驶与人机交互

² 强化学习与自适应动态规划

² 多智能体系统分布式学习、优化与控制

本科生课程：

1) 《智能机器人控制》

2) 《控制系统仿真》

3) 《工业组态软件》

4) 《智能控制理论基础》

研究生课程：

1) 《机器人学》

代表性论文

专著

1. 杨永亮. 基于强化学习的数据驱动优化控制方法[M]. 科学出版社, 2022.（中国博士后科学基金优秀学术专著出版资助，ISBN: 978-7-03-072869-2）

期刊文章

1. Yongliang Yang*, Hamidreza Modares, Kyriakos G. Vamvoudakis, Frank L. Lewis. Cooperative Finitely Excited Learning for Dynamical Games, IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2023.3274908, to appear, 2023.

2. Yongliang Yang, Yongping Pan*, Cheng-Zhong Xu, Donald C. Wunsch. Hamiltonian-Driven Adaptive Dynamic Programming with Efficient Experience Replay[J]. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3213566, to appear, 2022.

3. Yongliang Yang, Bahare Kiumarsi, Hamidreza Modares, Cheng-Zhong Xu*. Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation[J]. IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 2, pp. 635-649, 2023.

4. Rui Wang, Liqiang Tang, Yongliang Yang*, Shuo Wang, Min Tan, Cheng-Zhong Xu. Adaptive Trajectory Tracking Control with Novel Heading Angle and Velocity Compensation for Autonomous Underwater Vehicles[J]. IEEE Transactions on Intelligent Vehicles, vol. 8, no. 3, pp. 2135 - 2147, 2023.

5. Yongliang Yang, Weinan Gao, Hamidreza Modares, Cheng-Zhong Xu*. Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems with Unmodeled Dynamics[J]. IEEE Transactions on Fuzzy Systems, vol. 30, no. 6, pp. 2101-2112, 2022. (ESI热点)

6. Yongliang Yang, Cheng-Zhong Xu*. Adaptive fuzzy Leader-Follower Synchronization of Constrained Heterogeneous Multiagent Systems[J]. IEEE Transactions on Fuzzy Systems, vol. 30, no. 1, pp. 205-219, 2022. (ESI高被引)

7. Yongliang Yang, Hamidreza Modares, Kyriakos G Vamvoudakis, Wei He, Cheng-Zhong Xu*, Donald C Wunsch. Hamiltonian-Driven Adaptive Dynamic Programming with Approximation Errors[J]. IEEE Transactions on Cybernetics, vol. 52, no. 12, pp. 13762-13773, 2022.

8. Yongliang Yang, Zihao Ding, Rui Wang*, Hamidreza Modares, Donald C Wunsch. Data-Driven Human-Robot Interaction without Velocity Measurement Using Off-Policy Reinforcement Learning[J]. IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 1, pp. 47-63, 2022.

9. Yongliang Yang, Liqiang Tang, Wencheng Zou, Jian Guo, Choon Ki Ahn. Dynamic Event-Triggered Design with Fixed-Time Performance and Input Dead-Zone[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 11, pp. 4344-4348, 2022.

10. Majid Mazouchi, Yongliang Yang, Hamidreza Modares*. Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach[J]. IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 11, pp. 6183-6193, 2022.

11. Yongliang Yang*, Kyriakos G Vamvoudakis, Hamidreza Modares, Yixin Yin, Donald C Wunsch. Hamiltonian-Driven Hybrid Adaptive Dynamic Programming[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 10, pp. 6423-6434, 2021. (ESI高被引)

12. Yongliang Yang, Zhijie Liu*, Qing Li, Donald C Wunsch. Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems[J]. IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 2, pp. 441-454, 2021.

13. Yongliang Yang*, Kyriakos G Vamvoudakis, Hamidreza Modares, Yixin Yin, Donald C Wunsch. Safe Intermittent Reinforcement Learning with Static and Dynamic Event Generators[J]. IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 12, pp. 5441-5455, 2020.

14. Yongliang Yang*, Hamidreza Modares, Kyriakos G Vamvoudakis, Yixin Yin, Donald C Wunsch. Dynamic Intermittent Feedback Design for H-infinity Containment Control on a Directed Graph[J]. IEEE Transactions on Cybernetics, vol. 50, no. 8, pp. 3752-3765, 2020.

15. Yongliang Yang, Zhishan Guo, Haoyi Xiong, Da-Wei Ding*, Yixin Yin, Donald C Wunsch. Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3735-3747, 2019.

16. Yongliang Yang, Hamidreza Modares, Donald C Wunsch, Yixin Yin*. Optimal Containment Control of Unknown Heterogeneous Systems with Active Leaders[J]. IEEE Transactions on Control Systems Technology, vol. 27, no. 3, pp. 1228-1236, 2019.

17. Yongliang Yang*, Hamidreza Modares, Donald C. Wunsch, Yixin Yin. Leader-Follower Output Synchronization of Linear Heterogeneous Systems with Active Leader Using Reinforcement Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, vol, 29, no. 6, pp. 2139–2153, 2018.

18. Yongliang Yang*, Donald Wunsch, Yixin Yin. Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems[J]. IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 8, pp. 1929-1940, 2017.

19. Yongliang Yang, Liqiang Tang, Wencheng Zou, Da-Wei Ding, Choon Ki Ahn*. A Unified Fixed-time Framework of Adaptive Fuzzy Controller Design for Unmodeled Dynamical Systems with Intermittent Feedback[J]. Information Sciences, vol. 611, pp. 628-648, 2022.

20. Yongliang Yang, Hufei Zhu, Qichao Zhang, Bo Zhao*, Zhenning Li, Donald C Wunsch. Sparse Online Kernelized Actor-Critic Learning in Reproducing Kernel Hilbert Space[J]. Artificial Intelligence Review, vol. 55, no. 1, pp. 23-58, 2022.

21. Yongliang Yang, Liqiang Tang, Wencheng Zou, Choon Ki Ahn*. Novel command-filtered Nussbaum design for continous-time nonlinear dynamical systems with multiple unknown high-frequency gains[J]. Nonlinear Dynamics, doi: vol. 111, pp. 4313–4323, 2023.

22. Yongliang Yang, Da-Wei Ding*, Haoyi Xiong, Yixin Yin, Donald C Wunsch. Online Barrier-Actor-Critic Learning for H-infinity Control with Full-State Constraints and Input Saturation[J]. Journal of the Franklin Institute, vol. 357, no. 6, pp. 3316-3344, 2020.

23. Yongliang Yang, Zhijie Liu*, Haoyi Xiong, Yixin Yin. Adaptive Singularity-Free Controller Design of Constrained Nonlinear Systems with Prescribed Performance[J]. Neurocomputing, vol. 417, pp. 212-223, 2020.

24. Liqiang Tang, Yongliang Yang*, Wencheng Zou, Ruizhuo Song. Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone[J]. Neurocomputing, vol. 511, pp. 308-318, 2022.

25. Guilong Liu, Yongliang Yang*, Da-Wei Ding, Qing Li. Adaptive event-based fixedtime tracking design for strict-feedback nonlinear systems with unknown control coefficients, Neurocomputing, vol. 541, pp. 126278, 2023.

26. Yongliang Yang, Liqiang Tang, Wencheng Zou*, Da-Wei Ding. Robust Adaptive Control of Uncertain Nonlinear Systems with Unmodeled Dynamics Using Command Filter[J]. International Journal of Robust and Nonlinear Control, vol. 31, no. 16, pp. 7764-7784, 2021.

27. Yongliang Yang, Majid Mazouchi, Hamidreza Modares*. Hamiltonian-Driven Adaptive Dynamic Programming for Mixed H2/H-infinity Performance Using Sum-of-Squares[J]. International Journal of Robust and Nonlinear Control, vol. 31, no. 6, pp. 1941-1963, 2021.

28. Yongliang Yang*, Kyriakos G Vamvoudakis, Hamidreza Modares. Safe Reinforcement Learning for Dynamical Games[J]. International Journal of Robust and Nonlinear Control, vol. 30, no. 9, pp. 3706-3726, 2020.

29. Yongliang Yang*, Kyriakos G Vamvoudakis, Henrique Ferraz, Hamidreza Modares. Dynamic Intermittent Q-Learning-Based Model-Free Suboptimal Co-Design of L₂-Stabilization[J]. International Journal of Robust and Nonlinear Control, vol. 29, no. 9, pp. 2673-2694, 2019.

30. Yongliang Yang, Yixin Yin*, Donald Wunsch, Sen Zhang, Xianzhong Chen, Xiaoli Li, Shusen Cheng, Min Wu, Kang-Zhi Liu. Development of Blast Furnace Burden Distribution Process Modeling and Control[J]. ISIJ International, vol. 57, no. 8, pp. 1350-1363, 2017.

会议文章

1. Liqiang Tang, Yongliang Yang*, Da-Wei Ding, Cheng-Zhong Xu. Adaptive Constrained Control of Nonlinear Systems with Time-Varying Delays and Unknown Control Directions[C]. Proceedings of the 41th Chinese Control Conference (CCC2022), pp. 2315-2320, July 25-27, 2022, Hefei, China.

2. Liqiang Tang, Yongliang Yang*, Yixin Yin, Wencheng Zou. Command Filtered Control for Time-Delay Systems with Asymmetric Full State Constraints[C]. 2021 China Automation Congress (CAC), pp. 6008-6013, October 22-24, 2021, Beijing, China.

3. Liqiang Tang, Hufei Zhu, Yongliang Yang*, Wencheng Zou, Cheng-Zhong Xu, Yixin Yin. Output Feedback Design with Dynamic Surface for Nonlinear Systems with Unmodeled Dynamics[C]. Proceedings of the 40th Chinese Control Conference (CCC2021), pp. 2239-2244, July 26-28, 2021, Shanghai, China.

4. Yongliang Yang*, Hamidreza Modares, Kyriakos G Vamvoudakis, Cheng-Zhong Xu. Optimal Recursive Backstepping for Nonlinear Systems in a Strict-Feedback Form with Continuous and Intermittent Updates[C]. 59th IEEE Conference on Decision and Control (CDC2020), pp. 6216-6221, December 14-18, 2020, Jeju Island, Republic of Korea.

5. Yongliang Yang*, Majid Mazouchi, Hamidreza Modares. Data-Driven Solutions to Mixed Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach[C]. 2020 IEEE Conference on Control Technology and Applications (CCTA2020), pp. 340-345, August 24-26, 2020. Montréal, Canada.

6. Ailiang Xing*, Yongliang Yang, Bo Zhao, Da-Wei Ding, Yixin Yin. Observer-Based Adaptive Controller Design for Nonlinear Saturation Systems with Output Constraints[C]. 3rd IFAC Workshop on Cyber-Physical & Human Systems (CPHS2020), pp. 675-680, December 3-5, 2020, Beijing, China.

7. Majid Mazouchi*, Yongliang Yang, Hamidreza Modares. Data-Driven Dynamic Multi-Objective Optimal Control: A Hamiltonian-Inequality Driven Satisficing Reinforcement Learning Approach[C]. IFAC World Congress 2020 (IFAC2020), pp. 8070-8075, July 11-17, 2020. Berlin, Germany.

8. Yongliang Yang, Kyriakos G Vamvoudakis, Hamidreza Modares, Wei He*, Yixin Yin, Donald C Wunsch. Safe Intermittent Reinforcement Learning for Nonlinear Systems[C]. 58th IEEE Conference on Decision and Control (CDC2019), pp. 690-697, December 11-13, 2019. Nice, France.

9. Lu Li, Liming Wang, Yongliang Yang*, Jie Dong, Yixin Yin, Shusen Cheng. Model-Free Solution to the Discrete-Time Coupled Riccati Equation Using Off-Policy Reinforcement Learning[C]. Proceedings of the 38th Chinese Control Conference (CCC2019), pp. 6813-6818, July 27-30, 2019, Guangzhou, China.

10. Liming Wang*, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, Donald C Wunsch. Model-Free Temporal Difference Learning for Non-Zero-Sum Games[C]. 2019 International Joint Conference on Neural Networks (IJCNN2019), pp. 1-6, July 14-19, 2019, Budapest, Hungary.

11. Yongliang Yang*, Yixin Yin, Wei He, Kyriakos G Vamvoudakis, Hamidreza Modares, Donald C Wunsch. Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure[C]. 2019 American Control Conference (ACC2019), pp. 2352-2358, July 10-12, 2019, Philadelphia, PA, USA.

12. Yongliang Yang*, Kyriakos G Vamvoudakis, Henrique Ferraz, Hamidreza Modares. Dynamic Intermittent Q-Learning for Systems with Reduced Bandwidth[C]. 57th IEEE Conference on Decision and Control (CDC2018), pp. 924-931, December 17-19, 2018, Miami, FL, USA.

13. Yongliang Yang*, Kyriakos G Vamvoudakis, Hamidreza Modares, Dawei Ding, Yixin Yin, Donald C Wunsch. Dynamic Intermittent Suboptimal Control: Performance Quantification and Comparisons[C]. Proceedings of the 37th Chinese Control Conference (CCC2018), pp. 2017-2022, July 25-27, 2018, Wuhan, China.

14. Yongliang Yang*, Xianzhong Chen, Yixin Yin, Donald C Wunsch. Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Regulation of Continuous-Time Linear Systems[C]. 2018 International Joint Conference on Neural Networks (IJCNN2018), pp. 1-6, July 8-13, 2018, Rio de Janeiro, Brazil.

15. Yongliang Yang*, Hamidreza Modares, Kyriakos G Vamvoudakis, Yixin Yin, Donald C Wunsch. Model-Free Event-Triggered Containment Control of Multi-Agent Systems[C]. 2018 American Control Conference (ACC2018), pp.877-884, June 27-29, 2018, Milwaukee, WI, USA.

16. Yongliang Yang*, Dawei Ding, Yixin Yin, Donald C Wunsch. Model-Free Semi-Global Output Regulation for Discrete-Time Linear Systems Subject to Input Amplitude Saturation[C]. 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC2018), pp. 150-155, May 18-20, 2018, Nanjing, China.

17. Yongliang Yang*, Ruizhuo Song, Yixin Yin, Donald C Wunsch, Hamidreza Modares. Containment Control of Heterogeneous Systems with Active Leaders of Bounded Unknown Control Using Reinforcement Learning[C]. 2017 IEEE Symposium Series on Computational Intelligence (SSCI2017), pp. 1-7, Nov 27-Dec 01, 2017, Honolulu, HI, USA.

18. Yongliang Yang*, Zhishan Guo, Donald Wunsch, Yixin Yin. Off-Policy Reinforcement Learning for Robust Control of Discrete-Time Uncertain Linear Systems[C]. Proceedings of the 36th Chinese Control Conference (CCC2017), pp. 2507-2512, July 26-28, 2017, Dalian, China.

19. Yongliang Yang*, Donald Wunsch, Yixin Yin. Hamiltonian-Driven Adaptive Dynamic Programming for Nonlinear Discrete-Time Dynamic Systems[C]. 2017 International Joint Conference on Neural Networks (IJCNN2017), pp. 1339-1346, May 14-19, 2017, Anchorage, AK, USA.

20. Yongliang Yang*, Donald Wunsch, Zhishan Guo, Yixin Yin. Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine[C]. 14th International Symposium on Neural Networks (ISNN2017), pp. 197-205, June 21-26, 2017, Sapporo, Japan.

主持项目

1.国家自然科学基金面上项目，62373039，主持

2.京津冀合作专项项目，J210005，主持

3.澳门大学“濠江学者”人才计划，UMMTP-2019-02，主持

4.国家自然科学基金青年项目，61903028，主持

5.中国博士后科学基金优秀学术专著出版资助，主持

6.中国博士后科学基金面上项目，2018M641197，主持

7.中央高校基本科研业务费，FRF-TP-18-031A1，主持

科研奖励

1. 杨永亮. 欧盟“玛丽居里学者”计划，2023.02

2. 杨永亮. 澳门“濠江学者”计划，2020.01

3. 杨永亮. 中国人工智能学会优秀博士学位论文奖，2019.11

4. 杨永亮. 永利集团3044官网欢迎您优秀博士后，2019.12

5. 杨永亮. 北京市优秀毕业生，2018.01

6. 杨永亮. 永利集团3044官网欢迎您优秀博士学位论文，2018.01

教学荣誉

1. 杨永亮. 永利集团3044官网欢迎您第十八届“校长奖章”优秀指导教师，2023.06

2. 杨永亮. 永利集团3044官网欢迎您优秀硕士学位论文指导教师，2023.06

3. 杨永亮. 永利集团3044官网欢迎您第十八届“十佳学术之星”优秀指导教师，2023.01

4. 杨永亮. 永利集团3044官网欢迎您第九届“研师亦友--我最喜爱的导师”提名，2023.06

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