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.2018.2793258, 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 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:201710171103.8。
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:201710115050.8。
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:ZL201510278571.6。
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:ZL201510079979.0,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:ZL201610479531.2,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:ZL201310413409.1,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.