陆新江

教授 博士生导师 硕士生导师

所在单位:机电工程学院

办公地点:机电楼A-325

联系方式:luxj@csu.edu.cn

在职信息:在职

曾获荣誉:

教育部新世纪人才 湖南省杰青 上银优秀机械博士论文奖 湖南省优秀硕士论文 中南大学优秀硕士论文

   

研究领域

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研究方向一:机器人与机器视觉
  

q Design and control of soft robot;

q  Design and intelligent control of casting robot;

q  Image tracking under complex environment;

q  3D reconstruction of image using 2D image

   

 

研究方向二:鲁棒设计及其与控制集成

   

  Development of integrated approaches for robust design for both static and dynamic system under various uncertainties with help of  the perturbation theory, and control theory, which includes

q  Variable sensitivity robust design for unknown process;

q  Multi-objective optimization based robust design under model uncertainties;

q  Stability-based robust design for dynamic system under model uncertainty;

q  Intelligent integration of design and control for complex process

 

    

研究方向三:温度场(分布参数系统)重构与控制   

 

q  Development of novel spatiotemporal LS-SVM and spatiotemporal Fuzzy approaches for nonlinear DPSs;

q  Development of novel spatiotemporal ELM and adaptive KL-Fuzzy approaches for time-varying DPSs;

q  Development of novel intelligent control approaches to gain accurate temperatrure;


 

研究方向四:机器学习与智能制造

 

q  Development of various LS-SVM methods, including the probabilistic LS-SVM for distribution modeling, and robust LS-SVM for uncertain data, and the local LS-SVM modeling with the global regularization for nonlinearly distributed data;

q  Development of several ELM methods, including the robust ELM method for uncertain data, and the online RELM with adaptive regulation factor for time-varying nonlinear system, and the online probabilistic ELM for distribution modeling of complex batch forging processes.

q  Development of various learning methods for intelligent manufacturing;


 

研究方向五:大型模锻装备运行机理与智能控制

 

q  Development of various modeling methods in order to represent the dynamics of forging process under different working conditions. The work involves the physical and data-driven modeling approaches. After that, run rules of the equipment are investigated.

q  Development of some control approaches based on the feature of the forging process, which are employed to satisfy the different forging requirements under different working conditions.