职称：讲师，硕士生导师

办公地址：电子信息工程乐鱼leyu(中国) 电气教研室

电子邮件：yaminfans@126.com

2018-09 至 2022-06, 青岛科技大学, 工业装备与控制工程, 博士

2013-09 至 2016-01, 辽宁工程技术大学, 控制理论与控制工程, 硕士

教学工作：

本科生课程：人工智能与电力系统，电力拖动自动控制系统，电机与拖动基础，C/Python程序设计

研究生课程：电力电子与电子系统集成

研究方向：

复杂非线性系统辨识与建模，大规模复杂系统健康监测与预测性维护

主持或参加科研项目（课题）情况：

主持山西省高等学校科技创新项目1项，来晋工作优秀博士奖励金项目1项，太原科技大学博士科研启动金项目1项，参与国家自然科学基金项目，山东省自然科学基金面上项目等多项课题。

代表性研究成果和学术奖励情况：

① 代表性论著

[1] Fan, Yamin, Liu, Ximei; Li, Meihang. Hierarchical Newton iterative identification methods for a class of input multi-piecewise Hammerstein models with autoregressive noise. Mathematics and Computers in Simulation, 2025, 237:247-262. (SCI检索,TOP期刊)

[2] Fan Yamin, Liu Ximei. Two-stage auxiliary model gradient-based iterative algorithm for the input nonlinear controlled autoregressive system with variable-gain nonlinearity. International Journal of Robust and Nonlinear Control, 2020, 30(14): 5492-5509. (SCI检索, ESI高被引论文)

[3] Fan Yamin; Liu, Ximei; Li, Meihang. Data Filtering-Based Maximum Likelihood Gradient Based Iterative Algorithm for Input Nonlinear Box-Jenkins Systems with Saturation Nonlinearity, Circuits Systems and Signal Processing, 2024, 43(11): 6874-6910. (SCI检索)

[4] Fan Yamin, Liu Ximei. Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics. Journal of the Franklin Institute, 2021, 358(18): 9818-9840. (SCI检索)

[5] Fan Yamin, Liu Ximei. Auxiliary model-based multi-innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable-gain nonlinearity. International Journal of Adaptive Control and Signal Processing, 2022, 36(3): 521-540. (SCI检索)

[6] Fan Yamin, Liu Ximei. Filtering-based multi-innovation recursive identification methods for input nonlinear systems with piecewise-linear nonlinearity based on the optimization criterion. Optimal Control Applications and Methods, 2022, 43(3): 884-893. (SCI检索)

[7] Liu Ximei, Fan Yamin. Maximum likelihood extended gradient based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variablegain nonlinearity. International Journal of Robust and Nonlinear Control, 2021, 31(9):417-436. (SCI检索, ESI高被引论文)

[8] 刘喜梅, 樊亚敏, 李梅航. 基于滤波的分段线性Hammerstein系统的递推辨识方法. 控制理论与应用, 2023, 40(9):1627-1636. (EI检索)

[9] Li, Meihang; Liu, Ximei; Fan Yamin. Multi-Innovation Gradient Identification Methods for Bilinear Output-Error Systems. Optimal Control Applications and Methods, 2025, 46 (4): 1569-1586. (SCI检索)