个人简介

李康吉,江苏无锡人,1979年生,博士,副教授。2002年6月毕业于江苏大学电气学院工业自动化专业,获工学学士学位。2005年本校研究生毕业,获控制理论与控制工程硕士学位。2009年赴浙江大学控制系攻读博士学位,2013年3月毕业,获控制科学与工程博士学位。

 

联系电话:13913433206

邮    箱:likangji@ujs.edu.cn

地    址:江苏大学老变电所后楼一楼




研究兴趣

1.    分布式参数系统建模与控制

2.    模型降阶方法与应用

3.    建筑环境与建筑能量系统优化与控制




项目资助

1.    建筑节能中的热环境建模与优化控制问题国家自然基金青年基金,主持 (Grant No. 61304075, 2014.01-2016.12)

2.    建筑节能中的室内热环境建模与优化控制问题研究江苏省自然基金青年基金,主持 (Grant No. BK20130538, 2013.07-2016.06)

3.    建筑节能中的暖通空调系统多变量优化控制问题江苏大学高级专业人才科研启动基金,主持 (Grant No. 13JDG112, 2013.09-2016.08)

4.    约束系统有限时间控制与混合控制研究” 江苏省自然基金青年基金,参与(3/5) (Grant No. BK20150525, 2015.07-2018.06)

 




主要研究成果

Journal Publications

[11].Optimization of ventilation system operation in office environment based on data interactive mechanism and multi-objective genetic algorithm. (Submitted)

 

[10].K. Li, W. Xue, C. Xu and G. Liu. Multi-model based high-resolution predictive control of indoor thermal environment. Energy and Buildings. (Under review)

 

[9].K. Li,  C.Hu, G. Liu and W. Xue. Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis. Energy and Buildings, Vol.108, pp. 106-113, 2015. (IF: 2.679)

 

[8].W. Xue, K. Li* and G.Liu. DDI-based finite-time stability analysis for nonlinear switched systems with time-varying delays. International Journal of Systems Science, 2015. (In press)

 

[7].W. Xue and K. Li*. Positive finite-time stabilization for discrete-time linear systems. Journal of Dynamic Systems, Measurement, and Control, 2015, 137(1): 014502. (SCI)

 

[6].K. Li, W. Xue, C. Xu and H. Su. Optimization of ventilation system operation in office environment using POD model reduction and genetic algorithm. Energy and Buildings, Vol.67, pp. 34-43, 2013. (IF: 2.679, Cited times: 4)

 

[5].K. Li, H. Su, J. Chu and C. Xu. A fast-POD model for simulation and control of indoor thermal environment of buildings. Building and Environment, Vol. 60, pp. 150-157, 2013. (IF: 2.43, Cited times: 5)

 

[4].K. Li, H. Su and J. Chu. Forecasting building energy consumption using neural networks and hybrid neuro-fuzzy system: A comparative study. Energy and Buildings, Vol. 43(10), pp. 2893-2899, 2011. (IF: 2.679, Cited times: 31)

 

[3].K. Li and H. Su. Forecasting building energy consumption with hybrid genetic algorithm hierarchical adaptive network-based fuzzy inference system. Energy and Buildings, Vol. 42(11), pp. 2070-2076, 2010. (IF: 2.679, Cited times: 13)

 

[2].刘国海, 李康吉. 基于PDAGPS定位精度提高方法. 江苏大学学报(自然科学版), 26(5), 448-452, 2005.

 

[1].李康吉, 刘国海. 一种提高GPS定位精度的组合定位方法. 东南大学学报(自然科学版), 34(s1), 88-91, 2004.

 




Proceeding/Conference Publications

 

[6]. K. Li, W. Xue and G. Liu. A general optimization framework for complex PDE models based on data interactive mechanism . IEEE International Conference on Advanced Intelligent Mechatronics, Jul, 2015, Busan, Korea.

 

[5].C. Hu, K.Li*, G.Liu and L.Pan.  Forecasting building energy consumption based on hybrid PSO-ANN prediction model. The 34st Chinese Control Conference, Jul, 2015, Hangzhou, Zhejiang, China.

 

[4].W. Xue and K. Li*.  Input-output finite-time stability of time-delay systems and its application to active vibration control. IEEE International Conference on Automation Science and Engineering, Aug, 2014, Taipei, Taiwan.

 

[3].K. Li, H. Su and J. Chu. Optimal control strategy of ventilation systems using POD model reduction and genetic algorithm. CLIMA2013, Jun, 2013, Prague, Czekh.

 

[2].K. Li, H. Su and J. Chu. Nonlinear model reduction for simulation and control of temperature distribution in air conditioned rooms. The 31st Chinese Control Conference, Jul, 2012, Hefei, Anhui, China.

 

[1].K. Li, H. Su and J. Chu. A CFD-based test method for control of indoor environment in air conditioned rooms. The 31st Chinese Control Conference, Jul, 2012, Hefei, Anhui, China.

 




Book Publications

[1].仇保兴(注: 住建部副部长). 建筑节能与绿色建筑数据库与模型系统导论. 北京: 中国建筑工业出版社, 2011.(李康吉编著2.3, 3.3~3.7, 4.2, 4.5章节)

 

[2].刘国海, 李康吉, 薛文平. 现场总线Profinet. 北京: 电子工业出版社, 2007.

 




Awards

[1]. 2013年镇江市优秀科技论文三等奖.

(A fast-POD model for simulation and control of indoor thermal environment of buildings)

 

[2]. 2014年入选江苏大学青年骨干教师培养工程”.

 

Update:2015.12