2014年12月毕业于南京航空航天大学控制理论与控制工程专业。

奖励 杨辉,李中奇,付雅婷,张坤鹏,谭畅, 高速动车组节能优化关键技术及应用,中国人工智能协会,吴文俊人工智能科学技术奖技术发明一等奖, 2018.10.21

自适应控制，多模型控制，故障诊断与容错控制

IEEE member IEEE Transactions on Fuzzy Systems, International Journal of Adaptive Control and Signal Processing等期刊审稿人

1. Chang Tan, Gang Tao, Ruiyun Qi and Hui Yang. A direct MRAC based multivariable multiple-model switching control scheme, Automatica, 2017, 84(10): 190-198. 2. Chang Tan, Hui Yang and Gang Tao. A multiple-model MRAC scheme for multivariable systems with matching uncertainties, Information Science, 2016, 360(9): 217-230. 3. Chang Tan, Gang Tao and Ruiyun Qi. A discrete-time indirect adaptive multiple-model actuator failure compensation scheme, International Journal of Adaptive Control and Signal Processing, 2015, 29(6): 685-704. 4. Chang Tan, Gang Tao and Ruiyun Qi. An adaptive control scheme using multiple reference models, International Journal of Adaptive Control and Signal Processing, 2014, 28(11): 1290-1298. 5. Chang Tan, Gang Tao and Ruiyun Qi. A discrete-time parameter estimation based adaptive actuator failure compensation control scheme, International Journal of Control, 2013, 86(2): 276-289. 6. 谭畅, 陶钢, 齐瑞云. 多模型直接自适应执行器故障补偿控制系统, 南京航空航天大学学报, 2011, 43(s): 104-108. 7. Hui Yang, Lijuan He, Zhiyong Zhang, Rongxiu Lua and Chang Tan. Multiple-model predictive control for component content of CePr/Nd countercurrent extraction process, Information Science, 360(9): 244-255, 2016. 8. Jiyang Dai, Jin Ying and Chang Tan. A novel particle swarm optimization based robust H-infinity control for rotorcrafts, Engineering Computations, 2014, 31(4): 726-741. 9. Jiyang Dai, Chang Tan, Jin Ying and Guohui Wu. Fuzzy multi-model switching H-infinity control for helicopters in a full envelope, Circuits, Systems, and Signal Processing, 2013, 32(5): 2185-2197. 10. Ruiyun Qi, Gang Tao, Chang Tan and Xuelian Yao. Adaptive control of discrete-time state-space T-S fuzzy systems with general relative degree, Fuzzy Sets and Systems, 2013, 217(2): 22-40. 11. Ruiyun Qi, Gang Tao, Bin Jiang and Chang Tan. Adaptive control schemes for discrete-time T-S fuzzy systems with unknown parameters and actuator failures, IEEE Transactions on Fuzzy Systems, 2012, 20(3): 471-486. 12. Ruiyun Qi, Gang Tao, Chang Tan and Xuelian Yao. Adaptive prediction and control of discrete-time Takagi-Sugeno fuzzy systems, International Journal of Adaptive Control and Signal Processing, 2012, 26(7): 560-575. 13. Gang Tao, Ruiyun Qi and Chang Tan. A parameter estimation based adaptive actuator failure compensation control scheme, Journal of Systems Engineering and Electronics, 2011, 22(1): 1-5. 14. Chang Tan, Gang Tao, Hui Yang and Liyan Wen, An adaptive switching based actuator failure compensation scheme for control of high-speed trains, Proceedings of the 2018 IEEE 14th International Conference on Control and Automation, Anchorage, Alaska, USA, June 12-15, 2018: 857-862. 15. Chang Tan, Gang Tao and Hui Yang, A multiple-model MRAC scheme for discrete-time multivariable systems with uncertain actuation delays, Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, FL, USA, December 17-19, 2018. 16. Chang Tan, Gang Tao, Hui Yang and Fangping Xu. A multiple-model adaptive control scheme for multivariable systems with uncertain actuation signs, Proceedings of the 2017 American Control Conference, Seattle, USA, May 24-26, 2017: 1121-1126. 17. Chang Tan, Gang Tao and Hui Yang. A multiple-model adaptive tracking scheme for high-speed train motion control, Proceedings of the 2017 Asian Control Conference, Gold Coast, Australia, December 17-20, 2017: 1205-1210. 18. Chang Tan, Gang Tao and Hao Yang, Adaptive actuator failure compensation using multiple-model switching, Proceedings of the 2014 European Control Conference, Strasbourg, France, 2014.6. 24- 27: 630-635. 19. Chang Tan, Gang Tao and Ruiyun Qi. Multiple-model based adaptive control design for parametric and matching uncertainties, Proceedings of the 2014 American Control Conference, Portland, OR, 2014.6.4-6: 2353-2358. 20. Chang Tan, Gang Tao, Xuelian Yao and Bin Jiang. A Lyapunov method based multiple-model adaptive actuator failure compensation scheme for control of near-space vehicles, Proceedings of the 9th Asian Control Conference, Istanbul, Turkey, 2013.6. 23-26.