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

. 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 (G61004055), 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.2018.2793258, 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.2018.2815503, 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.2017.2719619, 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 YangAdaptive 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 sensorsMemetic Computing2015, 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. SundararajanP. SaratchandranOnline 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


Conference Papers

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 systemsIEEE 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 manipulatorsInternational 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 manipulator14th 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.



Assocaite Professor

#412 Jiaoyi North Building

School of Aerospace

Xi'an Jiaotong University

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