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姓名:谭畅 籍贯:重庆梁平 出生:1982年11月29 政治面貌:中共党员 学历:博士研究生 职称:副教授 职务:无 联系地址:江西省南昌市经济技术开发区双港东大街808号永利手机版网址南区 电话:87045150 电子邮件:lovetanchang@163.com |
个人简历:谭畅,女,中共党员,工学博士,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,主要研究方向为自适应控制,多模型控制,故障诊断与容错控制。主持国家自然科学基金1项,省自然科学基金1项,教育厅科研项目1项,省博士后科研项目1项,撰写学术论文30 余篇,其中被SCI检索12篇,被EI检索28篇。
研究方向:自适应控制,多模型控制,故障诊断与容错控制
主讲课程:软件技术基础、MATLAB语言、专业英语、数字电子技术
社会兼职及荣誉:
l IEEE member
l IEEE Transactions on Fuzzy Systems, International Journal of Adaptive Control and Signal Processing等期刊审稿人
科研及成果:
l 项目:
1. 国家自然科学基金重点项目,61733005,多组分稀土萃取分离过程优化控制关键技术及应用,2018/01-2022/12,300万元,在研,参加
2. 国家自然科学基金地区项目,61663013,高速列车多模型自愈合控制方法研究,2017/01-2020/12,40万元,在研,主持
3. 江西省青年科学基金项目,20161BAB212051,基于多模型的自愈合控制方法研究,2016/01-2017/12,7万元,已提交结题报告,主持
4. 江西省博士后科研项目择优资助项目,2016KY03,基于多模型的高速动车组执行器故障自愈合控制方法研究,2016/01-2017/12,8万元,已提交结题报告,主持
5. 国家自然科学基金面上项目,61673172,基于移动闭塞的高速动车组追踪运行协同优化控制方法,2017/01-2020/12,64万元,在研,参加
6. 江西省教育厅科技项目,GJJ1500506,多模型自愈合控制及其在高速列车牵引系统中的应用,2016/01-2017/12,2万元,已结题,主持
7. 国家自然科学基金地区项目,51565012,高速动车组动力学多智能体建模与分布式控制研究,2016/01-2019/12,38万元,在研,参加
8. 流程工业综合自动化国家重点实验室开放基金,PAL-N201501,高速动车组大数据建模与分布式控制,2015/01-2017/12,15万元,已提交结题报告,参加
9. 国家自然科学基金面上项目,61374130,基于自适应多设计融合的自适应控制系统理论及多故障调节技术,2014/01-2017/12,80万元,已提交结题报告,参加
10. 航空基金,2011ZA52009,基于多变量非线性自适应故障补偿的空间飞行器容错控制研究,2011/09-2013/09,10万元,已结题,参加
11. 国家自然科学重大研究计划,61273171,基于自适应控制的近空间飞行器容错控制技术研究,2012/01-2012/12,25万元,已结题,参加
l 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.
论文:
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.
21. Chang Tan, Gang Tao and Ruiyun Qi. Direct adaptive multiple-model control schemes, Proceedings of the 2013 American Control Conference, Washington, DC, 2013.6.17-19: 4940-4945.
22. Chang Tan, Xuelian Yao, Gang Tao and Ruiyun Qi. A multiple-model based adaptive actuator failure compensation scheme for control of near-space vehicles, Proceedings of 2012 IFAC International Symposium on SAFEPROCESS, Mexico City, Mexico, 2012.8. 29-31: 594 -599.
23. Chang Tan, Gang Tao and Ruiyun Qi. A discrete-time direct adaptive multiple-model control scheme, Proceedings of the 31st Chinese Control Conference, Hefei, China, 2012.7. 25-27: 2997-3002.
24. Chang Tan, Gang Tao and Ruiyun Qi. A discrete-time parameter estimation based adaptive actuator failure compensation control scheme, Proceedings of the 2011 American Control Conference, San Francisco, CA, 2011.6.29-7.1: 3754-3759.
25. Chang Tan, Gang Tao and Ruiyun Qi. A discrete-time multiple-model MRAC scheme for adaptive actuator failure compensation, Proceedings of the 8th Asian Control Conference, Kaohsiung, Taiwan, 2011.5.15-18: 1276-1281.
26. Ruiyun Qi, Gang Tao, Chang Tan and Xuelian Yao. Adaptive prediction and control of discrete-time T-S fuzzy systems, Proceedings of the 2012 American Control Conference, Montreal, Canada, 2012.6. 27-29: 356-361.
27. Ruiyun Qi, Gang Tao and Chang Tan. Adaptive control of discrete-time state-space T-S fuzzy systems, Proceedings of the 30th Chinese Control Conference, Yantai, China, 2011.7.22-24: 2496-2501.
28. 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, Proceedings of the 2011 American Control Conference, San Francisco, CA, 2011.6.29 -7.1: 3748-3753.
29. Ruiyun Qi, Gang Tao and Chang Tan. An adaptive control scheme for discrete-time T-S fuzzy systems with unknown membership parameters, Proceedings of the 8th Asian Control Conference, Kaohsiung, Taiwan, 2011.5.15-18: 1164-1169.
发明专利:
1. 中国专利, 杨辉, 付雅婷, 谭畅, 高速动车组跟踪运行实时优化控制, 申请, 2017.2.28, 201710106666.9
2. 中国专利, 杨辉, 付雅婷, 谭畅, 基于多工况ANFIS模型的动车组优化控制方法, 申请, 2017.1.18, 201710036637.X
3. 中国专利, 杨辉, 彭达, 付雅婷, 谭畅, 基于多级切换的动车组制动过程RBF模型参考自适应控制方法, 申请 2017.2.27,201710106658.4