耿立辉，男，教授，硕士生导师。
基本信息：
学科专业：控制科学与工程/控制理论与控制工程
通讯地址：天津职业技术师范大学自动化与电气工程学院，自动化东楼302
电子邮箱：glh2010@tute.edu.cn
研究方向：
（1）系统辨识及其工程应用：鲁棒辨识、变量带误差（EIV）模型、互质因子模型
（2）状态估计及其工程应用：卡尔曼平滑、粒子平滑
教育经历：
2004/09–2011/01，清华大学自动化系，控制科学与工程，博士
2000/09–2003/03，河北工业大学电气信息学院，控制理论与控制工程，硕士
1996/09–2000/07，天津商业大学计算机系，自动控制，学士
工作经历：
2018/12–现今，天津职业技术师范大学自动化与电气工程学院，教授
2014/09–2015/09，澳大利亚纽卡斯尔大学电气工程与计算机科学学院，访问学者
2013/12–2018/11，天津职业技术师范大学自动化与电气工程学院，副教授
2012/05–2015/05，天津职业技术师范大学项目博士后工作站，博士后
2011/01–2013/11，天津职业技术师范大学自动化与电气工程学院，讲师
人才计划：
（1） 2018年入选天津市教育委员会“中青年骨干创新人才培养计划”
（2） 2014年入选天津市“用三年时间引进千名以上高层次人才”
（3） 2014年入选天津市“131”创新型人才培养工程第二层次
社会兼职：
（1）国家自然科学基金项目函评评阅人
（2）SCI期刊审稿人：Automatica/IEEETransactions on Automatic Control/International Journal of Robust and NonlinearControl/International Journal of Control/Mathematical Problems in Engineering等
（3）会议审稿人：IEEE Conference on DecisionControl and European Control Conference/IFAC World Congress/IFAC InternationalSymposium on Dynamics and Control of Process Systems/ Chinese ControlConference/Chinese Control and Decision Conference等
科研项目：
（1）主持在研清华大学委托技术开发课题“xxx温度控制算法研究”，40万元（起止年月: 2021–2022）
（2）主持完成天津职业技术师范大学科研项目“一类非线性变量带误差模型的辨识方法研究”（资助号: KJ1922, 起止年月:2019.7–2021.3）
（3）参与在研国家重点研发计划项目子课题“LED在心血管系统疾病中的作用机制及应用研究”，排名第10（资助号:2017YFB0403802, 起止年月: 2017.7–2022.6）
（4）参与完成天津市自然基金项目“多机器人协调控制理论及应用研究”，排名第5（资助号: 15JCQNJC04200, 起止年月:2015.4–2019.3）
（5）参与完成天津市自然基金重点项目“基于LED光源的人眼视觉光学模型的辨识研究”，排名第3（资助号:14JCZDJC36300, 起止年月: 2014.4–2018.3）
（6）参与完成国家自然科学基金项目“基于模糊模型的多智能体分布式鲁棒输出调节控制理论及应用研究”，排名第5（资助号:61304153, 起止年月: 2014.01–2016.12）
（7）主持完成国家自然科学基金项目“一类噪声有界变量带误差模型的频域鲁棒辨识方法研究”（资助号: 61203119, 起止年月:2013.1–2015.12）
（8）主持完成中国博士后科学基金项目“一类连续时间变量带误差系统的L2最优辨识方法研究”（资助号: 2012M520586, 起止年月:2012.12–2014.12）
（9）主持完成天津市高等学校科技发展基金计划项目“基于v-gap度量优化准则的变量带误差模型的辨识方法研究”（资助号: 20110834, 起止年月:2011.11–2013.7）
著作论文：
目前，公开发表学术论文近50篇，其中SCI/EI检索30余篇。代表著作论文如下：
（1）译著/章节编写
[1] 杨帆, 耿立辉,倪博溢译. 动态系统辨识:导论与应用. 机械工业出版社,2016.
[2] 耿立辉. EIV模型辨识（国家级规划教材章节编写：萧德云, 系统辨识理论及应用,清华大学出版社, 2014）
（2）期刊论文
[3] GengLi-Hui.An improved computationally efficient identification method for errors in variablesmodels based on v-gap optimization. International Journal of Control, 2019, 92(9):2150–2158.
[4] 萧德云, 杨帆, 张益农,耿立辉. UD分解与偏差补偿结合用于变量带误差模型辨识. 控制理论与应用,2018, 35(7): 949–955.
[5] 耿立辉, 崔世钢, 赵丽.多输入多输出变量带误差模型的最坏情况频域辨识. 控制理论与应用,2016, 33(10): 1366–1372.
[6] GengLi-Hui,Cui Shi-Gang, Zhao Li, Lin Hai-Qi. A convex optimization algorithm forfrequency domain identification in the v-gap metric. International Journal ofAdaptive Control and Signal Processing, 2015, 29(3): 362–371.
[7] GengLi-Hui,Cui Shi-Gang, Xia Ze-Yu. Error quantification of the normalized right graphsymbol for an errors-in-variables system. Control Theory and Technology, 2015,13(3): 238–244.
[8] GengLi-Hui,Geng Li-Yan, Lu Sheng-Li, Cui Shi-Gang. L-two-optimal identification of MIMOerrors-in-variables models from the v-gap geometrical interpretation.International Journal of Control, 2012, 85(7): 898–905.
[9] GengLi-Hui,Xiao De-Yun, Zhang Tao, Song Jing-Yan. Robust control oriented identificationof errors-in-variables models based on normalised coprime factors.International Journal of Systems Science, 2012, 43(9): 1741–1752.
[10]CheYan-Qiu, Geng Li-Hui, Han Chun-Xiao, Cui Shi-Gang, Wang Jiang. Parameterestimation of the FitzHugh-Nagumo model using noisy measurements for membranepotential. Chaos, 2012, 22(2): 023139.
[11]GengLi-Hui,Xiao De-Yun, Zhang Tao, Song Jing-Yan. Worst-case identification of errors in variablesmodel in closed loop. IEEE Transactions on Automatic Control, 2011, 56(4): 762–771.（Fullpaper）
[12]GengLi-Hui,Xiao De-Yun, Zhang Tao, Song Jing-Yan, Che Yan-Qiu. L-two-optimalidentification of errors-in-variables models based on normalised coprime factors.IET Control Theory and Applications, 2011, 5(11): 1235–1242.
[13]GengLi-Hui,Xiao De-Yun, Zhang Tao, Song Jing-Yan. L-two-optimal identification of errors-in-variablesmodels: a frequency-domain approach. Journal of Control Theory andApplications, 2011, 9(4): 553–558.
[14]GengLi-Hui,Xiao De-Yun, Wang Qian, Zhang Tao, Song Jing-Yan. Attitude-control model identificationof on-orbit satellites actuated by reaction wheels. Acta Astronautica, 2010,66(5-6): 714–721.
[15]GengLi-Hui,Xiao De-Yun, Wang Qian, Zhang Tao, Song Jing-Yan. Two-stage identificationmethod for attitude control models of on-orbit satellites. Tsinghua Science andTechnology, 2010, 15(3): 319–324.
[16]耿立辉, 萧德云. 输入数据缺失情况下的OE 模型辨识算法研究. 高技术通讯,2010, 20(3): 279–283.
[17]GengLi-Hui,Zhang Tao, Xiao De-Yun, Song Jing-Yan. Attitude model identification ofon-orbit satellites. Aircraft Engineering and Aerospace Technology: AnInternational Journal, 2009, 81(2): 149–154.
[18]耿立辉, 张涛, 马景然,萧德云, 宋靖雁. 一种小卫星模拟装置的动态模型辨识. 宇航学报,2008, 29(3): 933–937.
[19]马景然, 张涛, 耿立辉,宋靖雁. 空间目标器模拟装置姿态控制仿真实验研究.系统仿真学报, 2008, 20(16): 4296–4298.
（3）会议论文
[20]GengLi-Hui,Liu Jin-Cang. Closed-loop indirect identification of a quadrotor generalizedattitude model using outdoor flight data. Proceedings of the 40th ChineseControl Conference, 2021, pp. 1271–1275.
[21]LiuJin-Cang, Geng Li-Hui. Correlation analysis based direct identificationof a quadrotor generalized attitude model using outdoor flight data. Proceedingsof the 40th Chinese Control Conference,2021,pp. 1276–1280.
[22]QinQiao-Hui, Liu Jin-Cang, Geng Li-Hui. Generalized Attitude ModelIdentification of a Quadrotor. Proceedings of the 7th International Conferenceon Electrical Engineering, Control and Robotics, 2021, pp. 142–149.
[23]YinHui, Liu Jin-Cang, Geng Li-Hui, Zhao Shu-Hai, Bayisa Ayele Terefe.Simulation study on state estimation for a quadrotor generalized attitudemodel. Proceedings of the 2021 International Conference on Electrical,Electronics and Computing Technology, 2021.
[24]GengLi-Hui,Bayisa Ayele Terefe, Liu Jin-Cang. Subspace identification of closed-looperrors-in-variables systems. Proceedings of the 30th ChineseControl and Decision Conference, 2020, pp. 1562–1566.
[25]GengLi-Hui,Bayisa Ayele Terefe, Liu Jin-Cang. Expectation maximization based FitzHugh-Nagumomodel identification under unknown gaussian measurement noise. Proceedings of the30th Chinese Control and Decision Conference, 2020, pp. 2167–2172.
[26]LiuJin-Cang, Geng Li-Hui. Attitude model identification of a quadrotorusing the subspace identification method. Proceedings of the 39th ChineseControl Conference, 2020, pp. 1227–1232.
[27]GengLi-Hui,Yang Zhi-Cheng, Zhang Yong-Li. A weighting function design method for the H-infinityloop-shaping design procedure. Proceedings of the 30th Chinese Control andDecision Conference, 2018.
[28]YangZhi-Cheng, Geng Li-Hui, Yang Yan. A computationally efficient EIV modelsidentification method using the v-gap metric. Proceedings of the 37th ChineseControl Conference, Wuhan, 2018.
[29]GengLi-Hui,Ninness Brett, Wills Adrian George, Schön Thomas Bo. Smoothed state estimationvia efficient solution of linear equations. Proceedings of the 20th IFAC WorldCongress, 2017, 50(1): 1613–1618.
[30] Geng Li-Hui, Ninness Brett.Identification of nonlinear state-space models using joint state particle smoothing.Proceedings of the 35th Chinese Control Conference, Chengdu, 2016, pp. 2166–2170.
[31]GengLi-Hui,Ninness Brett, Xia Ze-Yu. An improved square-root algorithm for RTS Kalmansmoothing. Proceedings of 2015 IEEE International Conference on Information andAutomation, Lijiang, China, 2015, pp. 1032–1036.
[32]LinHai-Qi, Cui Shi-Gang, Geng Li-Hui, Zhang Yong-Li. H-infinity controllerdesign for a ball and plate system using normalized coprime factors.Proceedings of the 26th Chinese Control and Decision Conference, 2014, pp. 467–472.
[33]GengLi-Hui,Geng Li-Yan. L-two-optimal identification of MIMO errors-in-variables models.Proceedings of the 2011 International Conference on Electrical and ControlEngineering, 2011, pp. 4548–4551.
[34]GengLi-Hui,Zhang Tao, Xiao De-Yun, Song Jing-Yan. Wavelet based OE model identificationwith random missing data. Proceedings of the 17th IFAC World Congress, 2008,pp. 4066–4071.
[35]GengLi-Hui,Zhang Tao, Xiao De-Yun, Song Jing-Yan. Attitude model identification of smallsatellites with missing data. Proceedings of the 2007 IEEE InternationalConference on Robotics and Biomimetics, 2007, pp. 461–466.
主要讲授课程：
本科：自动控制原理、控制系统建模与仿真、计算机控制
研究生：线性估计理论与应用、优化理论与方法、控制工程领域前沿讲座
欢迎控制科学与工程相关专业考生报考！