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池荣虎教授

2014年02月23日 16:16  点击:[]

 

   

   池荣虎,男,1975年生,教授,博士生导师,泰山学者青年计划专家,2014“青科大年度人物。中国自动化学会数据驱动控制、学习与优化委员会委员、山东省自动化学会理事。先后在南洋理工大学和阿尔伯塔大学进行访问。担任Int. J. Automa. & Comp.客座编辑、多个国际会议程序委员会委员邀请组主席, Automatica等多本国际期刊审稿人。研究兴趣包括:基于数据的系统建模与控制;学习与自适应控制;控制性能评估等。主持/参与了国家自然科学基金、山东省优秀中青年科学家奖励基金等10余项纵向和横向课题、发表学术论文100余篇,其中SCI检索33篇。获北京市科学技术奖、山东高校优秀科研成果奖等奖项6项。十篇代表性论著如下(*表示通讯作者)

[1] Zhongsheng Hou, Ronghu Chi*, Huijun Gao, An Overview of Dynamic Linearization Based Data-Driven Control and Applications, IEEE Transactions on Industrial Electronics, DOI 10.1109/TIE.2016.26361269, 2016. SCI, IF=6.383

[2] Ronghu Chi, Zhongsheng Hou*, and Jianxin Xu, Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition, Automatica, 44(8): 2207-2213, 2008. SCI, IF=3.020

[3] Ronghu Chi*, Zhongsheng Hou, Shangtai Jin, Danwei Wang, Chiang-Ju Chien, Enhanced Data-driven Optimal Terminal ILC Using Current Iteration Control Knowledge, IEEE Transactions on Neural Networks and Learning Systems, 26(11): 2939-2948, 2015.SCI, IF=4.854

[4] Ronghu Chi*, Zhongsheng Hou, Shangtai Jin, Danwei Wang, and Jiangen Hao, A Data-driven Iterative Feedback Tuning Approach of ALINEA for Freeway Traffic Ramp Metering with PARAMICS Simulations. IEEE Transactions on Industrial Informatics, 9(4): 2310-2317, 2013.SCI, IF=4.708

[5] Ronghu Chi*, Zhongsheng Hou, Biao Huang, Shangtai Jin, A Unified Data-driven Design Framework of Optimality-based Generalized Iterative Learning Control, Computers and Chemical Engineering, 77: 10-23, 2015. SCI, IF=2.581

[6] Ronghu Chi*, Zhongsheng Hou, Shangtai Jin and Danwei Wang, Improved data-driven optimal TILC using time-varying input signals, Journal of Process Control, 24(12): 78-85, 2014.SCI, IF=2.216

[7] Ronghu Chi*, Danwei Wang, Zhongsheng Hou, and Shangtai Jin, Data-driven optimal terminal iterative learning control. Journal of Process Control, 22:2026-2037, 2012.SCI, IF=2. 216

[8] Ronghu Chi*, Zhongsheng Hou, Shangtai Jin, A Data-driven Adaptive ILC for a Class of Nonlinear Discrete-time Systems with Random Initial States and Iteration-varying Target Trajectory, Journal of the Franklin Institute – Engineering and Applied Mathematics, 352(6): 2407-2424, 2015.SCI, IF=2.327

[9] Ronghu Chi*, Yu Liu, Zhongsheng Hou, Shangtai Jin, Data-driven terminal iterative learning control with high-order learning law for a class of non-linear discrete-time multiple-input–multiple output systems, IET Control Theory & Applications, 9(7): 1075-1082, 2015.SCI, IF=2.338

[10] Ronghu Chi*, Biao Huang, Danwei Wang, Ruikun Zhang, Yuanjing Feng, Data-driven optimal terminal iterative learning control with initial value dynamic compensation IET Control Theory & Applications, 10(12): 1357-1364, 2016. SCI, IF=2. 338

 

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