部门:信息与机电工程学院
聘任技术职务:副教授
学位:工学博士学位
学历:博士研究生毕业
毕业院校:江南大学
联系电话:
电子邮箱:guya@shnu.edu.cn
办公地点:上海市海思路100号
通讯地址:上海市海思路100号

研究方向

系统辨识、系统建模、人工智能、深度学习、机器学习。

2023年度尚有 电子信息-控制工程方向 专硕名额2人,信息与通信工程学硕1人


个人简历:上海师范大学,信息与机电工程学院,副教授,硕导。指导学生获得江苏省重点大学生创新训练计划项目“移动式远红外净暖器研制”,获江苏省本科微课教学比赛三等奖,发表教改论文2篇。主持国家自然科学基金项目1项,以主要成员参与国家自然科学基金6项,主持江苏省科技厅青年基金项目1项,主持江苏省教育厅青年基金项目1项,获得江苏省人才托举项目1项,苏州市人才托举项目1项,主持上海市自然科学基金1项。授权发明专利7项,获得软件著作权10 项。在学术期刊和学术会议上发表论文30余篇,其中在国际期刊发表SCI论文20篇,发表在国际SCI期刊《IET Signal Processing》和《IET Control Theory & Applications》上的论文获得年度最佳论文奖。


期刊论文:

1.Gu Ya, Dai Wei, Zhu Quanmin, Nouri Hassan. Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise. Journal of Computational and Applied Mathematics, 2023, 420.

2.Gu Ya, Zhu Quanmin, Nouri Hassan. Identifification and U-control of state-space system with time-delay. International Journal of Adaptive Control and Signal Processing, 2022, 36(1): 138-154. 

3.Gu Ya, Zhu Quanmin, Li Chuanjiang, Zhu Peiyi, Nouri Hassan. State filtering and parameter estimation for two-input two-output systems with time delay. IET Control Theory and Applications,2021, 15(16): 2053-2066

4.Gu Ya, Zhu Quanmin, Nouri Hassan. Bias compensation based parameter and state estimation for a class of time-delay nonlinear state-space models. IET Control Theory and Applications2020, 14(15): 2176-2185. 

5.Gu Ya, Liu Jicheng, Li Xiangli, Chou Yongxin, Ji Yan. State space model identification of multirate processes with time-delay using the expectation maximization. Journal of the Franklin Institute -- Engineering and Applied Mathematics, 2019, 356(3): 1623-1639. 

6.Gu Ya, ChouYongxin, Liu Jicheng, Ji Yan. Moving horizon estimation for multirate systems with time-varying time-delays. Journal of the Franklin Institute -- Engineering and Applied Mathematics, 2019, 356(4): 2325-2345. 

7.Gu Ya, Zhu Peiyi, Li Xiangli, Gu Jianfei. Parameter estimation algorithm for d-step time delay systems. International Journal on Modelling, Identification and Control, 2019, 32(3-4): 199-203. 

8.Gu Ya, Ding Feng. Statesbased iterative parameter estimation for a state space model with multi-state delays using decomposition. Signal Processing, 2015, 106: 294-300. 

9.Gu Ya, Ding Feng. Parameter estimation foran input nonlinear statespace system with time delay.Journal of the Franklin Institute --Engineering and Applied Mathematics, 2014, 351(12): 5326-5339. 

10.Gu Ya, Ding Feng. State filtering and parameter estimation for linear systems with d-step state-delay. IET Signal Processing, 2014, 8(6): 639-646. 

11.Gu Ya, Lu Xianling, Ding Ruifeng. Parameter and state estimation algorithm for a state space model with a one-unit state delay. Circuits Systems and Signal Processing, 2013, 32(5): 2267-2280. 

12.Gu Ya,Ding Feng. A least squares identification algorithm for state space model with multi-state delays. Applied Mathematics Letters, 2013, 26 (7): 748-753.

13.Gu Ya, Ding Feng. Parameter estimation for a multivariable state space system with d-step state-delay. Journal of the Franklin Institute -- Engineering and Applied Mathematics, 2013, 350(4): 724-736. 

14.Gu Ya, Ding Ruifeng. Observable state space realizations formultivariablesystems. Computers and Mathematics with Applications, 2012, 63(9):1389-1399. 

15.Gu YaDing Feng. Auxiliary model based least squares identification method for a state space model with a unit time-delay. Applied Mathematical Modelling, 2012, 36(12): 5773-5779. 

16.Liu Jicheng,Gu Ya, Chou Yongxin. Seismic data reconstruction via complex shearlet transform and Block Coordinate Relaxation. Journal of Seismic Exploration,2019, 28: 307-332. 

17.Liu Jicheng,Gu Ya, Chou Yongxin, Gu Jianfei. Seismic random noise reduction using adaptive threshold combined scale and directional characteristics of shearlet transform. IEEE Geoscience and Remote Sensing Letters,2020, 17(9): 1637-1641.

18.Chou Yongxin,Liu Jicheng,Gu Ya. Modelling arterial blood pressure waveforms for extreme bradycardia and tachycardia by curve fitting with gaussian functions, International Journal on Modelling, Identification and Control, 2019, 32(3-4): 226-231. 

19.Chen Jing, Huang Biao, Ding Feng, Gu Ya. Variational bayesian approach for ARX systems with missing observations and varying time-delays. Automatica, 2018, 94: 194-204. 

20.Xu Ling, Ding Feng, Gu Ya. A multi-innovation state and parameter estimation algorithm for a state space system with d-step state-delay. Signal Processing, 2017, 140: 97-103.

21.Ding Feng, Liu Ximei, Gu YaAn auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering.Journal of the Franklin Institute -- Engineering and Applied Mathematics, 2016, 353(2): 398-408.

22.Ding Feng, Gu Ya. Performance analysis of the auxiliary model-based stochastic gradient parameter estimation algorithm for state-space systems with one-step state delay. Circuits Systems and Signal Processing, 2013, 32(2): 585-599.

23.Ding Feng, Gu Ya. Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems. International Journal of Computer Mathematics, 2012, 89(15): 2019-2028.


会议论文:

1.Gu Ya, Xu Huigang,Chou Yongxin,Liu Jicheng, Zhu Peiyi. Two-stage least squares based iterative parameter identifification method for time-delay systems. The 11th International Conference on Modelling, Identification and Control (2019 ICMIC), July 13-15, 2019, Tianjin, China, pp. 1163-1170.

2.Gu Ya, Chou Yongxin,Ding Wei,Liu Jicheng. Least squares based iterative parameter estimation algorithm for state space model with time-delay. The 37th Chinese Control Conference (2018 CCC), July 25-27, 2018, Wuhan, China, pp. 1603-1607.

3.Gu Ya, Liu Jicheng,Zhu Peiyi, Chou Yongxin. Parameter estimation algorithm for state space systems with time-delay based on the iterative identification. ICMIC, July 2-4, 2018, Guiyang, China, DOI: 10.1109/ICMIC.2018.8529846.

4.Gu Ya, Ding Rui. Stochastic gradient algorithm for state space system with d-step delay. The 26th Chinese Control and Decision Conference (2014 CCDC), May 31-June 2, 2014, Changsha, China, pp. 1924-1928.

5.Ding Wei, Liu Yan, Gu Ya, Liu Jicheng. Research on geodesic active contour model for fast robust segmentation of complex image. CCC, July 25-27, 2018, Wuhan, China, pp. 9154-9158.

6.ChenQijia, Gu Ya, Ding Feng. Data filtering based recursive least squares estimation algorithm for a class of Wiener nonlinear systems. The 11th World Congress on Intelligent Control and Automation (2014 WCICA), June 29-July 4, 2014, Shenyang, China, pp. 4132-4136.


主持项目:

1. 2022上海市科技厅自然科学面上基金项目(No. 22ZR1445300):“大数据下具有多种特性的复杂工业过程系统辨识方法研究”

2. 2019国家自然科学基金项目(No. 61903050):“具有不规则损失数据和不确定时延特性的复杂工业过程辨识方法研究”

3. 2019江苏省科协青年科技人才托举工程项目

4. 2018江苏省科技厅自然科学青年基金项目(No. BK20181033):“多率非线性化工过程建模与优化研究”

5. 2018江苏省高校自然科学研究面上项目(No. 18KJB120001):“化工过程中多率系统的建模研究”


参与项目:

1. 2019江苏省高校自然科学研究面上项目(No. 19KJB520019):“基于知识学习的镜片缺陷视觉自主感知和决策方法研究”

2. 2019江苏省高校自然科学研究面上项目(No. 19KJB470009):“复杂高浓度颗粒两相流的浓度场与颗粒形貌重建研究”

3. 2018国家自然科学基金项目(No. 61803049):“具有多采样率非线性特性的多工况生物发酵过程监测方法的研究”

4. 2017江苏省科技厅自然科学基金青年基金项目(No. BK20170436):“非静止状态下脉搏主波间期的在线提取及分析方法研究”

5. 2016国家自然科学基金项目(No. 71603104):“中国家庭环境下的消费者对食源性疾病的感知和操作行为干预研究”

6. 2014国家自然科学基金项目(No. 61473137):“随机多模态驱动系统的混合频段鲁棒滤波”

7. 2014国家自然科学基金项目(No. 61403165):“流程工业中多率非线性系统的辨识方法研究”

8. 2013国家自然科学基金项目(No. F030118):“复杂动态网络系统的辨识方法研究”

9. 2012国家自然科学基金项目(No. 61273194):“大规模强耦合非线性多变量系统辨识方法研究”


授权专利:

1.基于机器学习的模型参数获取方法、系统及可读介质(No. ZL202110483532.5), 2022.9,排名第一

2.基于系统建模的高速列车交互估计方法、系统及可读介质(No. ZL202110480948.1), 2022.9,排名第一

3.基于多率迟延状态空间模型的辨识方法及U控制系统(No. ZL202010155262.0),2020.11,排名第一

4.多传感器基于多率变时滞状态空间模型的期望最大化辨识方法(No. ZL202010155240.4),2020.12,排名第一

5.基于状态滤波和参数估计的CSTR反应器时延系统的方法(No. ZL202010151129.8),2020.11,排名第一

6.一种基于驾驶员生理信号的防路怒眼镜(No. ZL201820466672.5),2019.5,排名第二

7.一种环绕式手机助听器(No. ZL201820467600.2),2018.12,排名第二


软件著作权:

2021 多变量系统的梯度迭代辨识软件,2021SR1046418

2021 多模型系统的期望最大化算法辨识软件2021SR1046417

2021 双率时滞状态空间模型的辨识和U控制软件2021SR1046416

2021 循环水动态模拟控制系统2021SR1124116

2020 基于EM算法的马尔可夫延迟系统建模软件2020SR0911167

2020 过程控制系统的软测量建模软件2020SR0088626

2020 基于EM算法的Hammerstein状态空间系统建模软件2020SR0088618

2019 基于滚动时域估计算法和扩展卡尔曼滤波算法的非线性系统建模软件2019SR0694752

2019 基于期望最大化算法的变迟延系统建模软件2019SR0762258

2019 线性变参数系统的全局优化软件2019SR0850630


学术成果

教学工作

教职工课程信息
开课学年开课学期课程名称
2022-20232智能机器人技术
2021-20222电力系统基础
2021-20221电力系统基础
2022-20231电力系统基础
2023-20241电力系统基础
2023-20242智能机器人技术
2024-20251魅力机器人
2024-20252检测技术与仪表

荣誉奖励

社会兼职