我的主页      中南大学      机电学院      
登录   |   English
陆新江
个人简介

基本信息

教授、博士生导师,教育部新世纪人才、湖南省杰青、第一届上银优秀博士论文奖获得者

机电学院A-325,luxj@csu.edu.cn , 907346236@qq.com (备用)


教育背景

2005-2010 博士 香港城市大学 制造工程与工程管理系

2002-2005 硕士 中南大学 机电工程学院

1998-2002 本科 中南大学 机电工程学院


工作经历

2010-至今 中南大学机电工程学院

2005.2-2005.7 香港城市大学深圳研究院


奖励

教育部新世纪人才, 2013

湖南省杰青,2019

第一届上银优秀机械博士论文奖, 2011

湖南省优秀硕士论文, 2007


研究方向

机器人理论与技术

机器学习理论与技术

智能控制理论与技术

机器视觉与智能装备理论与技术

可靠性与稳健性设计理论与应用


项目
国家重点研发计划课题(2018YFB1308200),铸造过程状态感知与机器人智能控制,2019-2022(主持)

国家重点实验室自主研究课题,软体机器人设计与控制, 2018-2020 (主持)

国家自然科学基金(51675539), 2017-2020 (主持)

国家自然科学基金(51205420), 2013-2015 (主持)

教育部新世纪人才基金(NCET-13-0593), 2014-2016 (主持)

湖南省自然科学基金(14JJ3011), 2014-2016 (主持)

中南大学创新驱动计划(2016CX009),2016-2017(主持)

国家重点实验室开放课题(zzyjkt2013), 2013-2014(主持)

中南大学自由探索计划 (2011QNZT055),2011-2013 (主持)

国家973项目(2013CB035801),2013-2017(主要参加人员)

国家973项目(2011CB706802),2011-2015(主要参加人员)


专著

Li H.X., Lu X.J., System Design and Control Integration for Advanced Manufacturing, John Wiley & Sons, 2014


指导研究生情况

1. 指导胡特特、王凯、王莎莎等获第一届中国研究生机器人创新设计大赛一等奖,2019.

2. 邹玮,公派读博(德国亚琛工业大学),2016.

3. 指导周闯、刘畅、刘文博获第四届“泰迪杯”全国数据挖掘挑战赛一等奖,2016.


代表性论文

● Lu X.J., Ming L., Liu W.B., Li H.X., Probabilistic Regularized Extreme Learning Machine for Robust Modeling of Noise data, IEEE Transactions on Cybernetics, vol.48, no.8, pp. 2368-2377, 2018.

● Lu X.J., Liu W.B., Zhou C., Huang M.H., Robust Least Squares Support Vector Machine with minimization of mean and variance of modeling error, IEEE Transactions on Neural Networks and Learning Systems, vol.29, no.7, pp.2909-2920, 2018.

● Sui H., Lu X.J. Nonlinear dynamic analysis of complex hydraulic driving processes, Journal of Sound and Vibration, vol.430, pp.115-133, 2018.

● Qin G.F., Lu X.J., Integration of Weighted LS-SVM and Manifold Learning for Fuzzy Modeling, Neurocomputing, 282, pp.184-191, 2018.

● Lu X.J., Zou W., Huang M.H. (2017), Robust Spatiotemporal LS-SVM Modeling for Nonlinear Distributed Parameter System with Disturbance, IEEE Trans. on Industrial Electronics, 64 (10), pp. 8003 – 8012, 2017.

● Lu X.J., Yin F., Liu C, Huang M.H. (2017), Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems,IEEE Transactions on Industrial Informatics, 13(4), pp. 1753 – 1762, 2017.

● Lu X.J., Liu W, Zhou C, Huang M.H.(2017), Probabilistic Weighted Support Vector Machine for Robust Modeling with Application to Hydraulic Actuator. IEEE Transactions on Industrial Informatics, 13(4), pp. 1723 – 1733, 2017.

● Lu X.J., Zou W., Huang M.H.,(2016) A Novel Spatiotemporal LS-SVM Method for Complex Distributed Parameter Systems with Applications to Curing Thermal Process, IEEE Transactions on Industrial Informatics, 12(3), pp.1156 - 1165, 2016.

● Lu X.J., Zhou C., Huang M.H., Lv W.B (2016). Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system, Neurocomputing, 174,pp.617-626, 2016.

● Lu X.J., Liu C., Huang M.H. (2015). Online Probabilistic Extreme Learning Machine for Distribution Modeling of Complex Batch Forging Processes, IEEE Transactions on Industrial Informatics, 11(6), pp.1277-1286, 2015.

● Lu X.J., Zou W., Huang M.H (2015). An adaptive modeling method for time varying distributed parameter processes with curing process applications, Nonlinear Dynamics, 82(1), pp. 865-876, 2015

● Lu X.J., Fan B., Huang, M.H. (2015). A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions, IEEE Transactions on Industrial Informatics, 11(3), pp.663-670, 2015.

● Lu X.J. , Zou W., Huang M.H., Deng K. (2015). A process/shape-decomposition modeling method for deformation force estimation in complex forging processes, International Journal of Mechanical Sciences, 90, pp.190-199, 2015.

● Lu X.J. , Li H.X., Huang M.H. (2014) . Stability and robust design using a sector nonlinearity approach for nonlinear manufacturing systems, Mechanism and Machine Theory, 82, pp. 115-127, 2014.

● Lu, X.J. & Huang, M.H. (2013). Nonlinear-Measurement-Based Integrated Robust Design and Control for Manufacturing System, IEEE Trans. on Industrial Electronics, 60(7), pp.2711-2720, 2013.

● Lu, X.J. & Huang, M.H. (2013). Multi-domain modeling based robust design for nonlinear manufacture system, International Journal of Mechanical Sciences, 75, pp.80-86, 2013.

● Lu, X.J. & Huang, M.H. (2012). System decomposition based multi-level control for hydraulic press machine. IEEE Trans. on Industrial Electronics,59(4), pp. 1080-1087, 2012.

● Lu, X.J. & Li, H.-X. (2012). Model based probabilistic robust design with data-based uncertainty compensation for model uncertainty. ASME Trans. on Journal of Mechanical Design, 134(2), pp. 021004, 2012.

● Lu, X.J. & Li, H.-X. (2012). Model based probabilistic robust design for nonlinear system. Mechanism and Machine Theory, , 52, pp. 195-205, 2012.

● Lu, X.J. & Li, H.-X. (2011). Robust Design for Dynamic Performance under Model Uncertainty. ASME Trans. on Journal of Mechanical Design, 133(2), pp:021006.

● Lu, X.J. Li, H.-X. (2010). PSO-based intelligent integration of design and control for a kind of curing process. Journal of process control, 20, 1116-1125

● Lu, X.J., Li, H.-X. (2010). Variable sensitivity based deterministic robust design for nonlinear system. ASME Trans. on Journal of Mechanical Design. 132(6),pp: 064502.

● Lu, X.J. & Li, H.-X. (2009). Perturbation Theory based Robust Design for Model Uncertainty. ASME Trans. on Journal of Mechanical Design. 131(11), pp: 111006.

● Lu, X.J. & Li, H.-X. (2009). Stability based Robust Eigenvalue Design for Tolerance. ASME Trans. on Journal of Mechanical Design. 131(8), pp: 081007.2017-2020