徐欢

徐欢

博士、讲师

E-MAIL: hxu@cczu.edu.cn

教育背景

2021.04-2022.04  加拿大麦吉尔大学 电子与计算机专业 联合培养工学博士

2016.09-2022.06  江南大学 控制科学与工程专业 工学博士

工作履历

2023.03-至今    常州大学 自动化专业 教师

研究领域

系统辨识与建模，自适应控制

奖励与荣誉    

2023年度江苏省高等学校科学技术研究成果奖（自然科学类）一等奖

学术成果

 学术论文：

 （1）Ding F, Shao XL, Xu L, Zhang X, Xu H, Zhou YH. Filtered generalized iterative parameter identification for equation-error autoregressive models based on the filtering identification idea. International Journal of Adaptive Control and Signal Processing, 2024, 38(4): 1363-1385.

 （2）Xu H, Ding F, Champagne B. Joint parameter and time-delay estimation for a class of nonlinear time-series models. IEEE Signal Processing Letters, 2022, 29: 947-951.

 （3）Xu H, Ding F, Yang EF. Three-stage multi-innovation parameter estimation for an exponential autoregressive time-series model with moving average noise by using the data filtering technique. International Journal of Robust and Nonlinear Control, 2021, 31(1): 166-184.

 （4）Xu H, Ding F, Gan M, et al. Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory. International Journal of Systems Science, 2021, 52(12): 2630-2645.

 （5）Xu H, Ding F, Yang EF. Recursive search-based identification algorithms for the exponential autoregressive time series model with colored noise. IET Control Theory and Applications, 2020, 14(2): 262-270.

 （6）Xu H, Ma FY, Ding F, et al. Data filtering-based recursive identification for an exponential autoregressive moving average model by using the multi-innovation theory. IET Control Theory and Applications, 2020, 14(17): 2526-2534.

 （7）Xu H, Ding F, Gan M, et al. Two-stage recursive identification algorithms for a class of nonlinear time series models with colored noise. International Journal of Robust and Nonlinear Control, 2020, 30(17): 7766-7782.

 （8）Xu H, Ding F, Yang EF. Modeling a nonlinear process using the exponential autoregressive time series model. Nonlinear Dynamics, 2019, 95(3): 2079-2092.

 （9）Xu H, Wan LJ, Ding F, et al. Fitting the exponential autoregressive model through recursive search. Journal of the Franklin Institute, 2019, 356(11): 5801-5818.

 （10）Xu H, Ding F, Sheng J. On some parameter estimation algorithms for the nonlinear exponential autoregressive model. International Journal of Adaptive Control and Signal Processing, 2019, 33(6): 999-1015.

 （11）Xu H, Ding F, et al. Recursive identification algorithms for a class of linear closed-loop systems. International Journal of Control Automation and Systems, 2019, 17(12): 3194-3204.

 （12）Xu H, Liu YJ. Matrix decomposition based threshold orthogonal matching pursuit algorithm for parameter and time delay identification of MISO-FIR systems. 43rd Annual Conference of the IEEE Industrial Electronics Society (2017 IECON), October 29-November 1, 2017, Beijing, China, pp.6285-6290.

研究项目

2024.07-2026.06江苏省高等学校基础科学（自然科学）研究面上项目，主持