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号华东交通大学南区
电话：**
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：
lIEEE member
lIEEE 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，**，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，**，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，**，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，GJJ**，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，**，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，**，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，**，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 Yangand Liyan Wen, An adaptive switching based actuator failure compensationscheme 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 Taoand Hui Yang, A multiple-model MRAC scheme for discrete-time multivariable systemswith uncertain actuation delays, Proceedings ofthe 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, 6.9
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, 7.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 2017.2.27，8.4