【综合简介】

女，中共党员，江南大学数学与数据科学学院副教授、硕士生导师。

教学方面：指导学生国家级和省级创新创业计划训练项目，指导学生毕业论文获得江南大学本科优秀毕业论文指导教师，指导学生“西门子杯”中国智造挑战赛获得全国总决赛二等奖。

科研方面：主要从事系统建模与参数辨识，智能优化、机器学习算法的改进和应用、模型预测控制相关方面的研究。至今发表SCI论文30余篇。曾获得国家自然科学基金青年项目。

【工作及研究经历】：

2009.9-2013.6 江南大学，自动化与智能科学学院（物联网学院），自动化，本科

2013.9-2019.6 江南大学，自动化与智能科学学院（物联网学院），控制科学与工程，硕博

2016.10-2018.10 阿尔伯塔大学，化学与材料工程学院，联合培养博士

2019.7-至今 江南大学，数学与数据科学学院，信息与计算科学系，副教授

【研究领域】

工业过程建模与辨识、状态估计、机器学习、智能优化、预测控制

【主要论著】（著作和论文）

[1] Y. Mao, C. Xu, J. Yu, F. Ding, Multiple-direction conjugate gradient method via Gram-Schmidt A-orthogonalization with applications to nonlinear system identification, Applied Mathematics Letters, 2026, 173. (SCI).

[2] Y. Mao, C. Xu, J. Chen, Regularization based reweighted estimation algorithms for nonlinear systems in presence of outliers, Nonlinear Dynamics, 2024, 112(15): 13131–13146. (SCI).

[3] Y. Mao, C. Xu, J. Chen, Y. Pu, An efficient conjugate gradient based Cholesky CMA-ES estimation algorithm for nonlinear systems, International Journal of Robust and Nonlinear Control, 2024, 34(3): 1610–1628. (SCI).

[4] Y. Mao, C. Xu, J. Chen, Y. Pu, Q. Hu, Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy, Circuits, Systems, and Signal Processing, 2022, 41(12): 6750–6773. (SCI).

[5] J. Chen, Y. Mao*, M. Gan, D. Wang, Q.M. Zhu, Greedy search method for separable nonlinear models using stage Aitken gradient descent and least squares algorithms, IEEE Transactions on Automatic Control, 2023, 68(8): 5044–5051. (SCI).

[6] Mao, Y, Liu, S, Liu J. (2020). Robust economic model predictive control of nonlinear networked control systems with communication delays. International Journal of Adaptive Control and Signal Processing, 34(5), 614-637. (SCI).

[7] Mao Y, Ding F, Xu L, and Hayat T. (2019). Highly efficient parameter estimation algorithms for Hammerstein non-linear systems. IET Control Theory & Applications, 13, 477-485. (SCI).

[8] Liu S, Mao Y, Liu J. (2019). Model-predictive control with generalized zone tracking. IEEE Transactions on Automatic Control, 64(11), 4698-4704. (SCI).

[9] Nahar J, Liu S, Mao Y, Liu J, and Shan S. (2019). Closed-loop scheduling and control for precision irrigation. Industrial & Engineering Chemical Research, 58(26), 11485-11497. (SCI).

[10] Mao Y, Liu S, Nahar J, Liu J, and Ding F. (2018). Soil moisture regulation of agro-hydrological systems using zone model predictive control. Computers and Electronics in Agriculture, 154, 239-247. (SCI).

[11] Mao Y, Ding F, and Liu Y. (2017). Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme. IET Signal Processing, 11(3), 265-274. (SCI).

[12] Mao Y, Ding F, and Yang E. (2017). Adaptive filtering-based multi-innovation gradient algorithm for input nonlinear systems with autoregressive noise. International Journal of Adaptive Control and Signal Processing, 31(10), 1388-1400. (SCI).

[13] Mao Y, Ding F, Alsaedi A, and Hayat T. (2016). Adaptive filtering parameter estimation algorithms for Hammerstein nonlinear systems. Signal Processing, 128, 417-425. (SCI).

[14] Mao Y, and Ding F. (2016). A novel parameter separation based identification algorithm for Hammerstein systems. Applied Mathematics Letters, 60, 21-27. (SCI).

[15] Mao Y, and Ding F. (2016). Data filtering-based multi-innovation stochastic gradient algorithm for nonlinear output error autoregressive systems. Circuits, Systems, and Signal Processing, 35(2), 651-667. (SCI).

[16] Mao Y, and Ding F. (2016). Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory. International Journal of Computer Mathematics, 93(11), 1869-1885. (SCI).

[17] Mao Y, and Ding F. (2015). A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems. Digital Signal Processing, 46, 215-225. (SCI).

[18] Mao Y, and Ding F. (2015). Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive autoregressive systems based on the filtering technique. Nonlinear Dynamics, 79(3), 1745-1755. (SCI).

[19] Liu Y and Mao Y. (2015). 一类基于预测的自适应PID控制器. 系统仿真学报. 27(11), 2778-2783.

[20] Xu C, Wen Z, Mao Y, and Bai R. (2013). 轴承表面缺陷检测系统的研究与开发. 计算机应用与软件. 30, 116-119.

【科研、教学项目】

科研项目：

1. 主持国家自然科学基金青年项目，主持，在研

【科研、教学成果及获奖】

科研获奖：论文入选无锡市自动化学会“2021-2025年度优秀科技成果”

【在读硕、博士人数】

硕士*人

【招生对象】

运筹学与控制论方向硕士

【以上资料更新日期】

2026年4月