所属研究所、院系:
大数据与计算智能研究所

职称:
教授

办公电话:
**

E-mail:
zhynong@mail.sysu.edu.cn

办公地点:
414室（Room 414）

个人主页: http://sdcs2.sysu.edu.cn/space/060009/



教师简介:
研究递归神经网络与冗余机械臂运动规划控制，取得重要成果。1）研究Hopfield类神经网络，提出LVI原对偶神经网络与离散模型'E47算法'高效求解二次规划（QP）并获最佳论文奖，建立机械臂QP统一规划控制理论，系统解决1981年来的机械臂带不等式约束的运动规划与控制难题。2）从机械臂时变问题推广到多类时变问题的求解，提出ZNN神经网络并建立该理论，由此构造机械臂不同层方案等效性和不同层性能指标同时优化方法。近5年SCI论文72篇其中IEEE汇刊论文19篇（长文15篇），授权发明专利7项。2007年入选教育部新世纪优秀人才支持计划，入Elsevier2014和2015中国高被引****榜；2008年获ISSCAA最佳论文奖，2011年ICAL最佳论文奖，2013年第四届青年科学之星奖，2014年省科学技术奖；且为IEEE-T-NNLS编委。将研究神经网络预测、除以零难题和移动多机械臂。Yunong Zhang has researched on recurrent neural networks as well as motion planning and control of redundant manipulators. The main achievements of important and original innovation include the following. 1) Hopfield-type neural networks have been researched. The LVI primal-dual neural network, with its discrete-time model ``E47 numerical algorithm'' winning the best paper award of ICAL 2011, has been proposed for highly efficiently solving quadratic programs (QP). The theory ``QP-unified motion planning and control of redundant manipulators'' has thus been established, which systematically solves the difficult problems of inequality-constrained motion planning and control of redundant manipulators that had been open since 1981. 2) By generalizing the robot-manipulators' time-varying problems solving to other various time-varying problems solving, the theory on ZNN as a new class of neural network has been proposed and established. The robot-schemes' equivalency at different levels and the simultaneous-optimization method with different-level performance indices have thus been conducted. In recent 5 years, Yunong has published 72 SCI-indexed papers including 19 IEEE-Transactions papers (with 15 regular papers), in addition to 7 authorized patents. Besides, Yunong was supported in 2007 by the Ministry of Education via the Program for New Century Excellent Talents in University, and supported by Elsevier via the 2014 and 2015 lists of Most Cited Chinese Researchers; presented the Best Paper Award of ISSCAA in 2008, the Best Paper Award of ICAL in 2011, the fourth Young Science Star Award in 2013, and the Guangdong Provincial Science-and-Technology Award in 2014; and now is an AE (Associate Editor) of the IEEE-T-NNLS (IEEE Transactions on Neural Networks and Learning Systems). Neural network prediction, division-by-zero open peoblems, and mobile and multiple manipulators will be researched.

研究领域:
神经网络，计算与优化，控制，机器人；Neuronets, computing-and-optimizing, control, and robotics

教育背景:
1999年至2002年在香港中文大学攻读博士学位；PhD at Chinese University of Hong Kong from 1999 to 2002. 1996年至1999年在华南理工大学攻读硕士学位；ME at South China University of Technology from 1996 to 1999. 1992年至1996年在华中理工大学攻读学士学位；BE at Huazhong University of Science and Technology from 1992 to 1996.

工作经历:
2006年中回国受聘于中山大学（“****” 教授）；Professor at Sun Yat-sen University since middle-late 2006. 2005/6年爱尔兰国立大学哈密顿研究所工作（研究科学家/研究员）；Research Scientist/Fellow at National University of Ireland, Maynooth in 2005/6. 2004年英国斯杰科莱大学工作（研究员）；Research Fellow at University of Strathclyde in 2004. 2003年新加坡国立大学做博士后研究；Postdoctoral Research Fellow at National University of Singapore in 2003.

海外经历:
2005/6年爱尔兰国立大学哈密顿研究所工作（研究科学家/研究员）；Research Scientist/Fellow at National University of Ireland, Maynooth in 2005/6. 2004年英国斯杰科莱大学工作（研究员）；Research Fellow at University of Strathclyde in 2004. 2003年新加坡国立大学做博士后研究；Postdoctoral Research Fellow at National University of Singapore in 2003. 1999年至2002年香港中文大学攻读博士学位；PhD at Chinese University of Hong Kong from 1999 to 2002.

获奖及荣誉:
2013年6月迄今（2016年3月）IEEE-T-NNLS编委；AE (Associate Editor) of the IEEE-T-NNLS (IEEE Transactions on Neural Networks and Learning Systems). Elsevier2014和2015中国高被引****榜；Supported by Elsevier via the 2014 and 2015 lists of Most Cited Chinese Researchers. 2014年省科学技术奖；Presented the Guangdong Provincial Science-and-Technology Award in 2014. 2013年第四届青年科学之星奖；Presented the fourth Young Science Star Award in 2013. 2011年ICAL最佳论文奖；2008年ISSCAA最佳论文奖；Presented the Best Paper Award of ISSCAA in 2008 and the Best Paper Award of ICAL in 2011. 2007年教育部新世纪优秀人才支持计划；Supported in 2007 by the Ministry of Education via the Program for New Century Excellent Talents in University.

科研项目:
1. 国家自然科学基金面上项目，固定基座和移动平台机械臂统一智能规划控制，在研，主持。2. 广州市科技计划项目，多输入神经网络权值结构双确定理论/算法与肾小球滤过率预报应用，在研，主持。3. 国家自然科学基金面上项目，时变问题求解的神经动力学新方法、模型 及理论分析，已结题，主持。4. 国家自然科学基金重点项目，面向服务任务的快速机器视觉与智能伺服 控制，已结题，参加。5. 深圳市科技计划产学研专项资助计划项目，平面六自由度串联 冗余机械臂的研制，已结题，主持。6. 国家自然科学基金面上项目，冗余机器人实时运动规划的统一理论，已结题，主持。7. 教育部新世纪优秀人才支持计划，多类神经网络学习理论及应用研究，已结题，主持。

主要学术兼职:
2013年6月迄今担任IEEE-T-NNLS编委。多次参与组织国际国内学术会议，如担任国际会议ISNN 2008、2011的出版主席（Publications Chair）；ISNN 2009的专题组主席（Special Sessions Chair）。担当各层级评审任务如NSFC项目申请、国际学术期刊与会议、博硕论文、奖励、职称等评审任务。

教授课程:
数值计算方法；Numerical Computational Methods. MATLAB编程；MATLAB Programming. 基函数神经网络及应用；Basis Function Neural Networks and Applications.

代表性论著:
【1】Yunong Zhang, Lin Xiao, Zhengli Xiao, Mingzhi Mao, Zeroing Dynamics, Gradient Dynamics, and Newton Iterations, CRC Press, 2015. 【2】Yunong Zhang, Dongsheng Guo, Zhang Functions and Various Models, Springer-Verlag, 2015. 【3】Yunong Zhang, Zhijun Zhang, Repetitive Motion Planning and Control of Redundant Robot Manipulators, Springer-Verlag, 2013. 【4】Yunong Zhang, Dongsheng Guo, Zhan Li, Common nature of learning between back-propagation and Hopfield-type neural networks for generalized matrix inversion with simplified models, IEEE Transactions on Neural Networks and Learning Systems, 2013, vol. 24, no. 4, pp. 579-592. 【5】Yunong Zhang, Bingguo Mu, Huicheng Zheng, Link between and comparison and combination of Zhang neural network and quasi-Newton BFGS method for time-varying quadratic minimization, IEEE Transactions on Cybernetics, 2013, vol. 43, no. 2, pp. 490-503.