西安交通大学航天航空学院导师教师师资介绍简介-荣海军

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个人信息 - 荣海军基本信息
荣海军，女，博士，副教授。主要研究方向为飞行器动力学与控制、模糊系统、神经网络、图像处理和无人机控制。2008年底进入航天航空学院工作，已发表论文40多篇，申请国家发明专利6项，授权4项，应邀撰写英文学术专著2章。先后主持西安交通大学基金项目3项、国家自然科学基金青年科学基金项目1项、企业合作横向课题项目3项，陕西省自然科学基金2项，国际合作项目1项。

教育经历
1996年9月-2000年7月学士西安工业大学（原西安工业学院）精密仪器
2000年9月-2003年5月硕士西安交通大学电子信息工程学院控制工程与控制理论
2003年9月-2006年12月博士新加坡南洋理工大学电子电机工程学院

工作经历
2003年12月-2008年10月新加坡南洋理工大学电子电机工程学院研究员
2008年10月-至今西安交通大学航天学院副教授
2015年11月-2016年7月，澳门大学，访问****
2016年9月-2017年9月，英国兰卡斯特大学，访问****

主要任职
2015-2019 中国自动化学会系统仿真专业委员会副秘书长
2017- Evolving Systems (Springer)期刊Associate Editor

闹钟

联系方式
航天航空学院航天工程系
教一楼北412
029-8266
hjrong@mail.xjtu.edu.cn

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类别/站点
西安交通大学首页
交大航天航空学院
西安交大研究生院

科学研究 - 荣海军科研项目
1、校内交叉项目：脑-控无人机控制技术，2016年1月-2018年12月。
2、校企合作横向项目：飞行训练模拟器，2015年5月-2016年9月。
3、校企合作横向项目：光学畸变软件研制，2016年1月-2016年7月。
4、陕西省自然科学基础研究计划项目，无人机飞控系统的模糊神经网络故障诊断方法，2014年5月-2016年5月。
5、校内国际合作项目：自适应模糊神经网络飞行控制方法研究，2012年-2014年。
6、国家自然科学青年基金项目，基于在线变结构模糊神经网络的自修复飞行控制方法研究，2011年1月-2013年12月。
7、陕西省自然科学基础研究计划项目，无人机模糊神经网络飞行容错控制技术研究，2009年9月-2011年9月。

发表文章
一、期刊论文 (*通讯作者)
28) Hai-Jun Rong, Plamen P. Angelov, Xiaowei Gu, Jian-Ming Bai, Stability of Evolving Fuzzy Systems Based on Data Clouds, IEEE Transactions on Fuzzy Systems, 10.1109/TFUZZ.2018.**, 2018.
27) Jian-Ming Bai, Guangshe Zhao, Hai-Jun Rong(*), Xinhua Wang, Seeker-azimuth determination with gyro rotor and optoelectronic sensors, Sensors, 18(4):1-16.
26) Jing Yang, Yi Xu, Hai-Jun Rong(*), Shaoyi Du, Badong Chen, Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression, IEEE Access, 10.1109/ACCESS.2018.**, 2018.
25) Rong-Jing Bao, Hai-Jun Rong(*), Plamen Angelov, Badong Chen, Pak-Kin Wong, Correntropy-Based Fuzzy Neural System, IEEE Transactions on Fuzzy Systems, 10.1109/TFUZZ.2017.**, 2017.
24) Jing Yang, Feng Ye, Hai-Jun Rong(*), and Badong Chen, Recursive least mean p-power extreme learning machine, Neural Networks, 2017, 91:22-33.
23) Hai-Jun Rong, Zhao-Xu Yang, Pak Kin Wong, Chi Man Vong, and Guang-She Zhao, Self-evolving fuzzy model-based controller with online structure and parameter learning for hypersonic vehicle, Aerospace Science and Technology, 2017, 64:1-15.
22) Hai-Jun Rong, Zhao-Xu Yang, Pak Kin Wong, Chi Man Vong, and Guang-She Zhao, A Novel Meta-Cognitive Fuzzy-Neural Model with Backstepping Strategy for Adaptive Control of Uncertain Nonlinear Systems, Neurocomputing, 2017,230: 332–344.
21) Hai-Jun Rong, Zhao-Xu Yang, Pak Kin Wong, and Chi Man Vong, Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles, ASME/Transactions Journal of Dynamic Systems Measurement and Control, 2017,139(4):041002-1---041002-12.
20) Jiang Yang, Xia Shang, Hai-Jun Rong, Shaoyi Du, A Wafer Segmentation Method Using the Closest Affine Iterative Point, Journal of Xi'an Jiaotong University, 2017, 51(12):56-61.
19) Zhao-Xu Yang, Guang-She Zhao, Guoqi Li, Hai-Jun Rong, Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint, 2017, 72(11-12):703-715.
18) Guangshe Zhao, Sisi Wu, Hai-Jun Rong(*), A Multi-Source Statistics Data-Driven Method for Remaining Useful Life Prediction of Aircraft Engine, Journal of Xi'an Jiaotong University, 2017, 51(11):150-155.
17) Zhao-Xu Yang, Guang-She Zhao, Rong-Jing Bao, Hai-Jun Rong(*), Robust kernel-based model reference adaptive control for unstable aircraft, Advances in Mechanical Engineering, 2016, 8(11):1-12.
16) Jing Yang, Yi Shi, Hai-Jun Rong(*),Random neural Q-learning for obstacle avoidance of a mobile robot in unknown environments, Advances in Mechanical Engineering, 2016, 8(7) :1-12.
15) Zhao-Xu Yang, Guang-She Zhao, Hai-Jun Rong(*), Jing Yang，Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes, Neurocomputing, 2016, 174:109-120。
14) Hai-Jun Rong, Jin-Tao Wei, Jian-Ming Bai, Guang-She Zhao, Yong-Qi Liang, Adaptive neural control for a class of MIMO nonlinear systems with extreme learning machine, Neurocomputing, 2015, 149:405-414。
13) Qinying Lin, Xiaoping Wang, Hai-Jun Rong(*), Self-organizing fuzzy failure diagnosis of aircraft sensors，Memetic Computing，2015, 7(4):243-254。
12) Hai-Jun Rong, Ya-Xin Jia, Guang-She Zhao, Aircraft recognition using modular extreme learning machine，Neurocomputing, 2014, 128:166-174。
11) Hai-Jun Rong, Sai Han, Guang-She Zhao, Adaptive fuzzy control of aircraft wing-rock motion, Applied Soft Computing, 2014, 14:181-193。
10) Hai-Jun Rong, Sai Han, Jian-Ming Bai, Yong-Qi Liang, Improved adaptive control for wing rock via fuzzy neural network with randomly assigned fuzzy membership function parameters, Aerospace Science and Technology, 2014, 39:614-627。
9) Hai-Jun Rong, Guang-Bin Huang, Yong-Qi Liang, Fuzzy extreme learning machine for a class of fuzzy inference systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems,2013, 21:51-61。
8) Hai-Jun Rong, Guang-She Zhao, Direct adaptive neural control of nonlinear systems with extreme learning machine, Neural Computing & Applications, 2013, 22(3-4):577-586。
7) Jian Sun, Jian Yu. Hai-Jun Rong(*), A novel dual-loop disturbance observer-based attitude control for a space-based observation microsatellite, Mathematical Problems in Engineering, 2012, 2012:1-10。
6) Hai-Jun Rong, S. Suresh, Guang-She Zhao, Stable indirect adaptive neural controller for a class of nonlinear system, Neurocomputing, 2011,74(16):2582-2590。
5) Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao Extended sequential adaptive fuzzy inference system for classification problems, Evolving Systems, 2011, 2:71-82。
4) Hai-Jun Rong, Guang-Bin Huang, N. Sundararajan，P. Saratchandran，Online sequential fuzzy extreme learning machine for function approximation and classification problems, IEEE Transactions on Systems, Man, and Cybernetics,Part B: Cybernetics, 2009, 39(4): 1067-1072。(ESI)
3) Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu, A fast pruned-extreme learning machine for classification problem Neurocomputing, 2008, 72(1-3):359-366。(ESI)
2) Hai-Jun Rong, N. Sundararajan, P. Saratchandran, Guang-Bin Huang, Adaptive fuzzy fault-tolerant controller for aircraft autolanding under failures, IEEE Transactions on aerospace and electronic systems, 2007,43(4):1586-1603。
1) Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran, Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction, Fuzzy Sets and Systems, 2006,157:1260-1275。
二、会议论文
24) Jian-Ming Bai, Guang-She Zhao, Hai-Jun Rong, Data-Driven Fuzzy Controller Design for Hypersonic Vehicle, 2018 International Symposium on Advances in Data Science and Technologies (DST 2018), Exeter, England, UK, June 28-30, 2018.
23) Rong-Jing Bao, Hai-Jun Rong, Jing Yang, Badong Chen, An Incremental Self-Learning Algorithm with Robustness Against Impulsive Noise, The 4th IEEE International Conference on Data Science and Systems (DSS-2018), Exeter, England, UK, June 28-30, 2018.
22) Hai-Jun Rong, Changjun Li, Rong-Jing Bao, Badong Chen, Incremental Adaptive EEG Classification of Motor
Imagery-based BCI, 2018 IEEE World Congress on Computational Intelligence, Rio de Janeiro, Brazil, July 8-13, 2018.
21) Zhao-Xu Yang, Hai-Jun Rong, Guang-She Zhao, Jing Yang, Self-Evolving Kernel Recursive Least Squares Algorithm for Control and Prediction, 2017 Evolving and Adaptive Intelligent Systems (EAIS), Ljubljana, Slovenia, May 31 - June 2, 2017.
20) Feng Ye, Jing Yang, Chao Ma, Hai-Jun Rong, Combing VFH with bezier for motion planning of an autonomous vehicle, 2nd Annual International Conference on Information System and Artificial Intelligence, ISAI, Tianjing, 2017.7.14-2017.7.16.
19) Jing Yang, Pengpeng Chen, Hai-Jun Rong, Badong Chen, Least Mean p-Power Extreme Learning Machine for Obstacle Avoidance of a Mobile Robot, 2016 International Joint Conference on Neural Networks (IJCNN), 2016:1968 - 1976.
18) Yicong He, Fei Wang, Jing Yang, Hai-Jun Rong, Badong Chen, Kernel Adaptive Filtering under Generalized Maximum Correntropy Criterion, 2016 International Joint Conference on Neural Networks (IJCNN), 2016:1738 - 1745.
17) Hai-Jun Rong, Jian-Ming Bai, Ying Yang, Aircraft sensor failure diagnosis using self-organizing fuzzy systems，IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, 2015.8.2-2015.8.5.
16) Zhao-Xu Yang, Guang-She Zhao, Hai-Jun Rong, Guoqi Li, Nonparametric robust adaptive controller for tracking AMB systems, Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, New Zealand, 2015.6.15-2015.6.17.
15) Hai-Jun Rong, Rong-Jing Bao, Guang-She Zhao, Model Reference Adaptive Neural Control for nonlinear systems based on Back-Propagation and Extreme Learning Machine, 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Singapore; April 21-24, 2014.
14) Hai-Jun Rong, Jing Yang, Jian-Ming Bai, Robust fuzzy-neural tracking control for robot manipulators，International Conference on Control Engineering and Information Technology, Nanjing, 2013.8.9-2013.8.11.
13) Hai-Jun Rong, Indirect adaptive fuzzy-neural control of robot manipulator，14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012, 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012, 1776-1781, Liverpool, United kingdom 2012.6.25-2012.6.27。
12) Jian-Ming Bai, Hai-Jun Rong, Fault-tolerant autolanding controller design using neural network, The 31th Chinese Control Conference, Hefei, 2012.7.25-2012.7.27.
11) Ping Liang, Hai-Jun Rong, Jie Liang, Fuzzy wavelet CMAC neural network control for free-floating space flexible manipulator to track desired trajectory, The 64rd International Astronautical Congress, Beijing, 2013.9.23-2013.9.27.
10) Hai-Jun Rong, Guang-Bin Huang, N. Sundararajan, P. Saratchandran, Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding, in 2006 IEEE International Conference on Fuzzy Systems, Vancouver, BC, Canada, July 16-21, 2006.
9) Hai-Jun Rong, N. Sundararajan, Fuzzy-Neuro Fault-Tolerant Control Schemes for Aircraft Autolanding Under Actuator Failures, in Second IEEE Symposium on Computational Intelligence for Security and Defense Applications, Ottawa, Canda, July 8-10, 2009.
8) S. Suresh, Hai-Jun Rong, N. Sundararajan, Bio-Inspired Computing for Launch Vehicle Design and Trajectory Optimization, in Second IEEE Symposium on Computational Intelligence for Security and Defense Applications, Ottawa, Canada, July 8-10, 2009.
7) Hai-Jun Rong, Guang-She Zhao, Stable Indirect Adaptive Fuzzy-Neuro Control for a Class of Nonlinear Systems, in 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 18-23, 2010.
6) Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong, Extreme learning machine for multi-categories classification applications, 2008 International Joint Conference on Neural Networks, Hong Kong, June 1-8, 2008.
5) Hai-Jun Rong, Guang-Bin Huang, N. Sundararajan, and P. Saratchandran,Fuzzy fault tolerant controller for actuator failures during aircraft autolanding, 2006 IEEE International Conference on Fuzzy Systems; Vancouver, BC; Canada; July 16-21, 2006.
4) Guang-Bin Huang, Nang-Ying Liang, Hai-Jun Rong, N. Sundararajan, P. Saratchandran, On-line sequential extreme learning machine, IASTED International Conference on Computational Intelligence; Calgary, AB; Canada, July 4-6, 2005.
3) 荣海军，李苑，蔡远利，磁轴承转子系统的自适应反演滑模控制，中国自动化学会系统仿真专业委员会、中国系统仿真学会仿真技术应用专业委员会、离散系统仿真专业委员会，中国福建福州，2014.12.8-2014.12.10。
2) 荣海军，蔡远利，预测控制方法在飞行器控制器设计中应用，第14届中国系统仿真技术及其应用学术年会，889-893，中国海南三亚, 2012.8.11-2012.8.13。
1) 荣海军, 李录, BTT导弹神经网络后退反演姿态控制, 第八届海峡两岸航空太空学术研讨会, 北京, 2012.9.3-2012.9.5。
三、发明专利
6)李长军，荣海军等，基于运动想象脑-机接口的无人机虚拟控制方法及系统，申请号：3.8。
5)聂可欣，荣海军，一种飞行驾驶模拟器系统及模拟方法，申请号：0.8。
4) 杨静，荣海军，陈鹏鹏，杜少毅，薛建儒，基于快速终端滑模原理的无人车侧纵向耦合跟踪控制方法，中国，授权号:ZL1.6。
3) 荣海军，弓晓阳，杨静，李苑，赵广社，核函数极限学习机分类器的FPGA实现方法，中国，授权号：ZL9.0，授权日期：2017年8月1日。
2) 荣海军，鲍容憬，王力，BTT导弹神经网络反演自动驾驶仪的FPGA实现方法，中国，授权号：ZL1.2，授权日期： 2017年6月27日.
1) 荣海军，张明家，冯笑阳，鲍容憬，杨朝旭，欧阳鹏程，韦金涛，变结构模糊系统的传感器故障诊断方法及其在飞控系统中的应用，中国，授权号：ZL9.1，授权日期：2015年12月2日。
四、书籍章节
2) Hai-Jun Rong，Sequential Adaptive Fuzzy Inference System for Function Approximation Problems，Learning in Non-Stationary Environments, Moamar Sayed-Mouchaweh and Edwin Lughofer, Springer, pp 247-270, USA, 2012.
1) A. Pashilkar，Hai-Jun Rong，N. Sundararajan，Neuro-Fuzzy Fault-Tolerant Aircraft Autoland Controllers，Mobile Intelligent Autonomous Systems, Jitendra R. Raol and Ajith K. Gopal, CRC Press, pp 561-610, USA, 2012.

科研团队 - 荣海军在读生
在读硕士生
李长军（2015级）黄辉（2016级）周淳（2017级）刘泽华（2017级）
在读博士生
鲍容憬（2012级）
联合指导学生
吴思思（2015级硕士）杨朝旭（2013级博士）

已毕业

入学姓名工作单位城市
2009 张明家中兴新软件有限责任公司南京
2009 李录航天科工集团第三总体设计部北京
2010 吴垠机械学院博士在读西安
2012 欧阳鹏程华为技术有限公司深圳
2013 李苑中国电子科技集团公司32所上海

招生信息 - 荣海军招生信息

欢迎具有良好数学、编程与英语基础，有志于从事机器学习、飞行器控制研究的同学报考研究生。

欢迎对机器学习、飞行器控制、小型无人机导航、控制方向的本科生加入本课题组进行课外实践活动。

联系方式：
QQ：**
电子邮箱：hjrong@mail.xjtu.edu.cn
办公室：教一楼北412

站点计数器

课程信息 - 荣海军所授课程
本科生课程：飞行力学，飞行器控制系统设计
研究生课程：飞行器控制系统设计与实践

English - 荣海军Reseach & Experience
1. Research Summary

My research work has mostly been in machine learning methods and their applications on identification and control of nonlinear systems. Among machine learning methods, I am mostly interested in neural networks and fuzzy inference systems, their learning algorithms, their structure determination and their hardware implementation. Moreover my work has focused on nonlinear system identification and control using neural networks and fuzzy inference systems. I also specialize in the application of fuzzy inference systems in the adaptive control and failure diagnosis of aerospace. Currently my research interests are in the area of brain signal processing and decision making process of small UAVs based on different brain signals.
2. Education Background

Ph.D. in Intelligent Control, 2008.
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Dissertation: Efficient Sequential Fuzzy-Neural Algorithms for Aircraft Fault-Tolerant Control
Supervisor: Prof. N. Sundararajan (primary) and Associate Prof. Guang-Bin Huang (secondary)
M.Eng. in Control Theory and Applications, 2003.
School of Electronic and Information Engineering, Xi'an Jiaotong University, China
B.Eng. in Precision Instrumentation, 2000.
Department of Precision Instrumentation, Xi’an Technological University, China
3. Working Experience
Research Fellow, Dec. 2006 – Oct. 2008
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
Associate Professor, Nov.2008 - present
Shool of Aerospace, Xi’an Jiaotong University, China.
Academic Visitor, Sep. 2016 - Sep. 2017
School of Computing and Communications, Lancaster University, UK
4. Projects

National Natural Science Foundation of China (G**), 2011.1-2013.12.
Online Variable-Structure Fuzzy-Neural Self-Repairing Flight Control
Natural Science Foundation of Shaanxi Province (2014JM8337), 2014.5-2016.5
Fuzzy-Neural Failure Diagnosis for Flight Control Systems of UAVs
Natural Science Foundation of Shaanxi Province (2009JQ8003), 2009.7-2011.7
Fuzzy-Neural Flight Fault-Tolerant Control of UAVs, 40,000RM
5. Awards
First Prize, Science and Technology Award of Shaanxi Province Universities
6. Professional Services Associate Editor, Evolving Systems Journal (Springer)
7. Publications (* corresponding author)
Journal Papers
28)Hai-Jun Rong, Plamen P. Angelov, Xiaowei Gu, Jian-Ming Bai, Stability of Evolving Fuzzy Systems Based on Data Clouds, IEEE Transactions on Fuzzy Systems, 10.1109/TFUZZ.2018.**, 2018.
27)Jian-Ming Bai, Guangshe Zhao, Hai-Jun Rong(*), Xinhua Wang, Seeker-azimuth determination with gyro rotor and optoelectronic sensors, Sensors, 18(4):1-16.
26)Jing Yang, Yi Xu, Hai-Jun Rong(*), Shaoyi Du, Badong Chen, Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression, IEEE Access, 10.1109/ACCESS.2018.**, 2018.
25)Rong-Jing Bao,Hai-Jun Rong(*), Plamen Angelov, Badong Chen, Pak-Kin Wong, Correntropy-Based Fuzzy Neural System, IEEE Transactions on Fuzzy Systems, 10.1109/TFUZZ.2017.**, 2017.
24)Jing Yang, Feng Ye,Hai-Jun Rong(*), and Badong Chen, Recursive least mean p-power extreme learning machine, Neural Networks, 2017, 91:22-33.
23)Hai-Jun Rong, Zhao-Xu Yang, Pak Kin Wong, Chi Man Vong, and Guang-She Zhao, Self-evolving fuzzy model-based controller with online structure and parameter learning for hypersonic vehicle, Aerospace Science and Technology, 2017, 64:1-15.
22)Hai-Jun Rong, Zhao-Xu Yang, Pak Kin Wong, Chi Man Vong, and Guang-She Zhao,A Novel Meta-Cognitive Fuzzy-Neural Model with Backstepping Strategy for Adaptive Control of Uncertain Nonlinear Systems, Neurocomputing, 2017,230:332–344.
21)Hai-Jun Rong, Zhao-Xu Yang, Pak Kin Wong, and Chi Man Vong,Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles, ASME/TransactionsJournal of Dynamic Systems Measurement and Control, 2017,139(4):041002-1---041002-12.
20)Jiang Yang, Xia Shang, Hai-Jun Rong, Shaoyi Du, A Wafer Segmentation Method Using the Closest Affine Iterative Point, Journal of Xi'an Jiaotong University, 2017, 51(12):56-61.
19)Zhao-Xu Yang, Guang-She Zhao, Guoqi Li, Hai-Jun Rong, Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint, 2017, 72(11-12):703-715.
18)Guangshe Zhao, Sisi Wu, Hai-Jun Rong(*), A Multi-Source Statistics Data-Driven Method for Remaining Useful Life Prediction of Aircraft Engine, Journal of Xi'an Jiaotong University, 2017, 51(11):150-155.
17)Zhao-Xu Yang, Guang-She Zhao, Rong-Jing Bao,Hai-Jun Rong(*),Robust kernel-based model reference adaptive control for unstable aircraft,Advances in Mechanical Engineering, 2016, 8(11):1-12.
16)Jing Yang, Yi Shi,Hai-Jun Rong(*),Random neural Q-learning for obstacle avoidance of a mobile robot in unknown environments,Advances in Mechanical Engineering, 2016, 8(7):1-12.
15) Zhao-Xu Yang, Guang-She Zhao,Hai-Jun Rong(*),Jing Yang，Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes,Neurocomputing,2016,174:109-120。
14)Hai-Jun Rong,Jin-Tao Wei,Jian-Ming Bai,Guang-She Zhao,Yong-QiLiang,Adaptive neural control for a class of MIMO nonlinear systems with extreme learning machine, Neurocomputing,2015,149:405-414。
13) Qinying Lin, Xiaoping Wang,Hai-Jun Rong(*),Self-organizing fuzzy failure diagnosis of aircraft sensors，Memetic Computing，2015,7(4):243-254。
12)Hai-Jun Rong,Ya-Xin Jia,Guang-She Zhao,Aircraft recognition using modular extreme learning machine Neurocomputing,2014,128:166-174。
11)Hai-Jun Rong,Sai Han,Guang-She Zhao,Adaptive fuzzy control of aircraft wing-rock motion,Applied Soft Computing,2014,14:181-193。
10)Hai-Jun Rong,Sai Han,Jian-Ming Bai,Yong-Qi Liang,Improved adaptive control for wing rock via fuzzy neural network with randomly assigned fuzzy membership function parameters,Aerospace Science and Technology,2014,39:614-627。
9)Hai-Jun Rong,Guang-Bin Huang,Yong-Qi Liang,Fuzzy extreme learning machine for a class of fuzzy inference systems,International Journal of Uncertainty Fuzziness and Knowledge-Based Systems,2013,21:51-61。
8)Hai-Jun Rong,Guang-She Zhao,Direct adaptive neural control of nonlinear systems with extreme learning machine,Neural Computing & Applications,2013,22(3-4):577-586。
7) Jian Sun, Jian Yu.Hai-Jun Rong(*),A novel dual-loop disturbance observer-based attitude control for a space-based observation microsatellite,Mathematical Problems in Engineering,2012,2012:1-10。
6)Hai-Jun Rong, S. Suresh,Guang-She Zhao,Stable indirect adaptive neural controller for a class of nonlinear system,Neurocomputing,2011,74(16):2582-2590。
5)Hai-Jun Rong,N. Sundararajan,Guang-Bin Huang,Guang-She Zhao Extended sequential adaptive fuzzy inference system for classification problems,Evolving Systems,2011,2:71-82。
4)Hai-Jun Rong,Guang-Bin Huang,N. Sundararajan，P. Saratchandran，Online sequential fuzzy extreme learning machine for function approximation and classification problems,IEEE Transactions on Systems, Man, and Cybernetics,Part B: Cybernetics,2009,39(4): 1067-1072。(ESI)
3)Hai-Jun Rong,Yew-Soon Ong,Ah-Hwee Tan,Zexuan Zhu,A fast pruned-extreme learning machine for classification problem Neurocomputing,2008,72(1-3):359-366。(ESI)
2)Hai-Jun Rong,N. Sundararajan,P. Saratchandran,Guang-Bin Huang, Adaptive fuzzy fault-tolerant controller for aircraft autolanding under failures, IEEE Transactions on aerospace and electronic systems, 2007,43(4):1586-1603。
1)Hai-Jun Rong,N. Sundararajan,Guang-Bin Huang,P. Saratchandran,Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction,Fuzzy Sets and Systems,2006,157:1260-1275。
ConferencePapers
24) Jian-Ming Bai, Guang-She Zhao, Hai-Jun Rong, Data-Driven Fuzzy Controller Design for Hypersonic Vehicle, 2018 International Symposium on Advances in Data Science and Technologies (DST 2018), Exeter, England, UK, June 28-30, 2018.
23) Rong-Jing Bao, Hai-Jun Rong, Jing Yang, Badong Chen, An Incremental Self-Learning Algorithm with Robustness Against Impulsive Noise, The 4th IEEE International Conference on Data Science and Systems (DSS-2018), Exeter, England, UK, June 28-30, 2018.
22) Hai-Jun Rong, Changjun Li, Rong-Jing Bao, Badong Chen, Incremental Adaptive EEG Classification of Motor
Imagery-based BCI, 2018 IEEE World Congress on Computational Intelligence, Rio de Janeiro, Brazil, July 8-13, 2018.
21) Zhao-Xu Yang, Hai-Jun Rong, Guang-She Zhao, Jing Yang, Self-Evolving Kernel Recursive Least Squares Algorithm for Control and Prediction, 2017 Evolving and Adaptive Intelligent Systems (EAIS), Ljubljana, Slovenia, May 31 - June 2, 2017.
20) Feng Ye, Jing Yang, Chao Ma, Hai-Jun Rong, Combing VFH with bezier for motion planning of an autonomous vehicle, 2nd Annual International Conference on Information System and Artificial Intelligence, ISAI, Tianjing, 2017.7.14-2017.7.16.
19) Jing Yang, Pengpeng Chen, Hai-Jun Rong, Badong Chen, Least Mean p-Power Extreme Learning Machine for Obstacle Avoidance of a Mobile Robot,2016 International Joint Conference on Neural Networks (IJCNN), 2016:1968-1976.
18) Yicong He, Fei Wang, Jing Yang, Hai-Jun Rong, Badong Chen, Kernel Adaptive Filtering under Generalized Maximum Correntropy Criterion, 2016 International Joint Conference on Neural Networks (IJCNN), 2016:1738-1745.
17) Hai-Jun Rong, Jian-Ming Bai, Ying Yang, Aircraft sensor failure diagnosis using self-organizing fuzzy systems，IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, 2015.8.2-2015.8.5.
16) Zhao-Xu Yang, Guang-She Zhao, Hai-Jun Rong, Guoqi Li, Nonparametric robust adaptive controller for tracking AMB systems, Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, New Zealand, 2015.6.15-2015.6.17.
15) Hai-Jun Rong, Rong-Jing Bao, Guang-She Zhao, Model Reference Adaptive Neural Control for nonlinear systems based on Back-Propagation and Extreme Learning Machine, 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Singapore; April 21-24, 2014.
14) Hai-Jun Rong, Jing Yang, Jian-Ming Bai, Robust fuzzy-neural tracking control for robot manipulators，International Conference on Control Engineering and Information Technology, Nanjing, 2013.8.9-2013.8.11.
13) Hai-Jun Rong, Indirect adaptive fuzzy-neural control of robot manipulator，14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012, 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012, 1776-1781, Liverpool, United kingdom 2012.6.25-2012.6.27。
12) Jian-Ming Bai, Hai-Jun Rong,Fault-tolerant autolanding controller design using neural network, The 31th Chinese Control Conference, Hefei, 2012.7.25-2012.7.27.
11) Ping Liang, Hai-Jun Rong,Jie Liang,Fuzzy wavelet CMAC neural network control for free-floating space flexible manipulator to track desired trajectory,The 64rd International Astronautical Congress, Beijing, 2013.9.23-2013.9.27.
10) Hai-Jun Rong, Guang-Bin Huang, N. Sundararajan, P. Saratchandran, Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding, in 2006 IEEE International Conference on Fuzzy Systems, Vancouver, BC, Canada, July 16-21, 2006.
9) Hai-Jun Rong, N. Sundararajan, Fuzzy-Neuro Fault-Tolerant Control Schemes for Aircraft Autolanding Under Actuator Failures, in Second IEEE Symposium on Computational Intelligence for Security and Defense Applications, Ottawa, Canda, July 8-10, 2009.
8) S. Suresh, Hai-Jun Rong, N. Sundararajan, Bio-Inspired Computing for Launch Vehicle Design and Trajectory Optimization, in Second IEEE Symposium on Computational Intelligence for Security and Defense Applications, Ottawa, Canada, July 8-10, 2009.
7) Hai-Jun Rong, Guang-She Zhao, Stable Indirect Adaptive Fuzzy-Neuro Control for a Class of Nonlinear Systems, in 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 18-23, 2010.
6) Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong, Extreme learning machine for multi-categories classification applications, 2008 International Joint Conference on Neural Networks, Hong Kong, June 1-8, 2008.
5) Hai-Jun Rong, Guang-Bin Huang, N. Sundararajan, and P. Saratchandran,Fuzzy fault tolerant controller for actuator failures during aircraft autolanding, 2006 IEEE International Conference on Fuzzy Systems; Vancouver, BC; Canada; July 16-21, 2006.
4) Guang-Bin Huang, Nang-Ying Liang, Hai-Jun Rong, N. Sundararajan, P. Saratchandran, On-line sequential extreme learning machine, IASTED International Conference on Computational Intelligence; Calgary, AB; Canada, July 4-6, 2005.
3) 荣海军，李苑，蔡远利，磁轴承转子系统的自适应反演滑模控制，中国自动化学会系统仿真专业委员会、中国系统仿真学会仿真技术应用专业委员会、离散系统仿真专业委员会，中国福建福州，2014.12.8-2014.12.10。
2)荣海军，蔡远利，预测控制方法在飞行器控制器设计中应用，第14届中国系统仿真技术及其应用学术年会，889-893，中国海南三亚, 2012.8.11-2012.8.13。
1) 荣海军, 李录, BTT导弹神经网络后退反演姿态控制, 第八届海峡两岸航空太空学术研讨会, 北京, 2012.9.3-2012.9.5。
Book Chapters
[1] H.-J. Rong, Sequential Adaptive Fuzzy Inference System for Function Approximation Problems, in: Learning in Non-Stationary Environments. Moamar Sayed-Mouchaweh and Edwin Lughofer (Ed.) Springer, New York, USA, 247-270, 2012, Chapter 9.
[2] A. A. Pashilkar, Rong HJ and N. Sundararajan, Neuro-Fuzzy Fault-Tolerant Aircraft Autoland Controllers, in: Mobile Intelligent Autonomous Systems. Jitendra R. Raol and Ajith K. Gopal (Ed.) CRC press, USA, 561-610, 2012, Chapter 28.

Contact
Assocaite Professor
#412 Jiaoyi North Building
School of Aerospace
Xi'an Jiaotong University
No. 28 Xianing West Road
hjrong@mail.xjtu.edu.cn