当前位置: X-MOL首页全球导师 国内导师 › 秦春斌

个人简介

教育经历 2010.09-2014.05:在东北大学攻读电力电子与电力传动控制专业博士学位 2006.09-2009.06:在河南大学攻读应用数学专业硕士学位 2000.09-2004.06:在河南大学攻读自动化专业学士学位 工作经历 2004.07:来河南大学工作至今 奖励及荣誉 学术方面 荣获2016年中国人工智能学会优秀博士学位论文奖 教学实践方面 1.荣获第二十一届全国教育教学信息化大奖赛一等奖 2. 荣获2014-2015学年河南大学教学质量二等奖 3. 组织指导大学生参加2015年全国大学生“飞思卡尔”杯智能汽车竞赛,获得1个全国总决赛二等奖 4. 组织指导大学生参加2015年全国大学生“飞思卡尔”杯智能汽车竞赛(华北赛区),获得2个一等奖和2个三等奖 5. 组织指导学生参加2015年全国大学生电子设计大赛(河南赛区),获得1个一等奖和2个二等奖

研究领域

1. 理论研究方向:自适应动态规划最优控制、神经网络智能控制、深度优化学习、事件触发自适应控制等 2. 工程研究方向:车联网(无人驾驶技术)、智能机器人研究与开发、3D打印机技术研发,UWB室内定位系统研发

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1] Zhang Huaguang( 张化光), Qin Chunbin( 秦春斌), Luo Yanhong, Neural-network-based constrained optimal control scheme for discrete-time switched nonlinear system using dual heuristic programming. IEEE Transactions on Automation Science and Engineering, VOL. 11, NO. 3, PP:839-849, JULY 2014. (Regular Paper) (SCI 检索源, 影响因子:1.674) [2] Zhang Huaguang, Qin Chunbin( 秦春斌), Jiang Bin, Luo Yanhong, Online adaptive policy learning algorithm for H∞ state feedback control of unknown affine nonlinear discrete-time systems. IEEE Transactions on Cybernetics, 2014. (Accepted to be published) (SCI 检索源,影响因子:3.236) [3] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong, On-line optimal tracking control of continuous-time linear system with unknown dynamics by using adaptive dynamic programming. International Journal of Control, VOL. 87, NO. 5, PP:1000-1009, 2014. (SCI 检索源,影响因子:1.008) [4] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong, Wang Binrui, Finite horizon optimal control of nonlinear discrete-time switched systems using adaptive dynamic programming with ε-error bound. International Journal of Systems Science,VOL. 45, NO. 8, PP:1683-1693, 2014. (SCI 检索源,影响因子:1.305) [5] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong, Optimal tracking control of a class of nonlinear discrete-time switched systems using adaptive dynamic programming. Neural Computing & Applications, Vol.24, pp: 531-538, 2014. (SCI 检索,影响因子:1.168) [6] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong, Adaptive optimal control for nonlinear discrete-time systems. In:Proceeding of the 2013 IEEE symposium on Adaptive dynamic programming and Reinforcement Learning, 16-19 April, pp: 13-18, Singapore, 2013. (EI 检索) [7] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong, Near-optimal control for continuous-time nonlinear systems with control constraints using on-line ADP. In: Proceeding of the 2013 Fourth International Conference on Intelligent Control and Information Processing, 9-11 June, pp: 754-759, Beijing, China, 2013. (EI 检索) [8] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong, Mode-free adaptive dynamic programming for online optimal solution of the unknown nonlinear zero-sum differential game. In: Proceeding of the 2014 International Joint Conference on Neural Networks, Beijing, China, 3815-3820, 2014.(EI 检索源) [9] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong, Mode-free H∞ control design for unknown continuous-time linear system by using adaptive dynamic programming. Asian Journal of Control, RR-13-0642, 2013.(Accepted) [10] Qin Chunbin( 秦春斌), Zhang Huaguang, Luo Yanhong,Neural Network-based near-optimal control for nonlinear Discrete-time zero-sum differential games associated with the H-infty control problem. In: Proceeding of the 2014 Fourth International Conference on Intelligent Control and Information Processing, 9-11 August, pp: 754-759, Beijing, China, 2014. (EI 检索). [11] C QIN, G LIANG, Design of a Shunt-current Electric Larceny Detecting Monitoring in Electric Power Metering System,Journal of H enan University ( Natur al Science),VOL. 39, NO. 4, PP:416-419, 2009. [12] C QIN, J ZHAO, L ZHANG, C YANG ,Analyzing and Modeling for Shunt Current Electric Larceny of Electric Power Metering System,Electrical Measurement & Instrumentation, VOL. 46, NO. 418, PP:39-42, 2009. [13] C QIN, L ZHANG, J ZHAO, Design of Anti-shunt Current Electric Larceny System Based on the GSM Technology, Automation & Instrumentation, NO. 2, PP:50-53, 2009.

学术兼职

自适应动态规划与强化学习专业会委员 自动化学会能源互联网专委会的委员 IEEE 自适应动态规划与加强学习国际研讨会议(ADPRL)程序委员会委员 2013

推荐链接
down
wechat
bug