Name: | Zhu Daqi |
Sex: | Male |
Birth Date and Place: | November 29, 1964, Anhui Province, China |
Nationality: | Chinese |
Position: | Professor of Information Engineering College, Head of the Laboratory of Underwater Vehicles and Intelligent Systems (LUVIS), Shanghai Maritime University |
Employment Period: | 2006 to present |
Present Address: | 1550 Haigang Avenue, Shanghai 201306, China |
Telephone: | +8621-38282860 (O) +8621-38282856 (Lab) |
+8621-38282892(Lab) |
1.Emplyment History
Sep. 1987 – July 1989: | Physics teacher, Tangou middle school, Anhui Province, China |
Sep. 1992 – July 1999 | Associate professor, Department of electronic engineering, Anhui University of Technology, Anhui Province, China |
Sep. 2002 – July 2006 | Professor, Automation engineering college, Jiangnan University, Jiangsu Province, China |
July 2009-Jan. 2010
Sep. 2006 – present | Visit Professor, the Advanced Robotics and Intelligent Systems (ARIS) Laboratory at the University of Guelph, Canada. Professor, Information engineering college, Head of the Laboratory of Underwater Vehicles and Intelligent Systems (LUVIS), Shanghai Maritime University, China. |
2.Qualifications
Sep. 1983 – July. 1987 | Diploma at Department of Physics, Anhui Normal University |
Sep. 1989 – July 1992 | Master’s Degree, Department of Physics, Huazhong University of Science and Technology. |
Sep. 1999 – July 2002 | PhD., Automation engineering college, Nanjing University of Aeronautics and Astronautics.
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3.Research Area
Autonomous Underwater Vehicle, Path planning, Tracking Control, Sensing and Multi-sensor Fusion, Fault diagnosis.
4.Previous experience in editing
The Editor of Chinese Journal of Ship and Ocean Engineering, Chinese Journal of Robotics and Application.
5.Reviewing journal articles
IEEE Transactions on Neural Networks; IEEE Transactions on Systems, Man, and Cybernetics, Part B; IEEE Journal OF Ocean Engineering; International Journal of Robotics and Automation; Ocean Engineering; International Journal of Control; Journal of Intelligent & Robotic Systems; Journal of Robotic Systems; Sensors; International Journal of Advanced Robotics Systems.
6.Publication
[1]Daqi Zhu, Huang Huan, Simon X.Yang, Dynamic Task Assignment and path planning of Multi-AUV System Based on an Improved Self-organizing Map and Velocity Synthesis Method in 3D Underwater Workspace; IEEE Transactions on Systems, Man and Cybernetics, Part B,2012, DOI 10.1109/TSMCB.2012.2210212.
[2]Bing Sun, Daqi Zhu and Simon X.Yang, A Approach of hybrid sliding-mode Tracking control for unmanned underwater vehicles, Journal of Maritime Science and Technology, DOI 10.1007/s00773-012-0188-8.
[3]Daqi Zhu, Yue Zhao and Mingzhong Yan, A Bio-inspired Neurodynamics based backstepping Path-following Control of an AUV with Ocean Current, International Journal of Robotics and Automation, 2012, 27(3):1-10.
[4]Qian Liu, Daqi Zhu, Simon X.Yang, Unmanned underwater vehicles fault identification and fault-tolerant control method based on FCA-CMAC neural networks, Journal of Intelligent & Robotic Systems, 2012, 66(4):463-475.
[5]Daqi Zhu, Qian Liu and Zhen Hu, Fault-tolerant control algorithm of the manned submarine with multi-thruster based on Quantum behaved Particle Swarm Optimization, International Journal of Control, 2011, 84(11):1817-1829.
[6]Daqi Zhu, Jing Liu and Simon X.Yang, Particle Swarm Optimization Approach to Thruster Fault-tolerant Control of Unmanned Underwater Vehicles, International Journal of Robotics and Automation, 2011,26(3):426-432.
[7]Daqi Zhu, Jie Bai and Simon X. Yang, Multi-fault diagnosis method for sensor system based on PCA,Sensors, 2010,10(1):241-253.
[8]Daqi Zhu, Qian Liu, An Integrated Fault-tolerant Control for Nonlinear Systems with Multi-Fault, International Journal of Innovative Computing, Information and Control, 2009, 5(4):941-950.
[9]Qian Liu and Daqi Zhu, Fault-tolerant Control of Unmanned Underwater Vehicles: Simulations and Experiments, International Journal of Advanced Robotic Systems, 2009,6(4):301-308。
[10]Daqi Zhu, Qian Liu and Yongsheng Yang, An active fault-tolerant control method of unmanned underwater vehicles with continuous and uncertain faults, International Journal of Advanced Robotic Systems, 2008, 5(4):411-418.
[11]Daqi Zhu, Wei Gu, Sensor Fusion for Integrated Circuit Fault Diagnosis Using a Belief Function Model, International Journal of Distribute Sensor Networks, 2008, 6(4):247-261.
[12]D.Q.Zhu, M.Kong, Adaptive Fault-tolerant Control of Nonlinear System: An Improved CMAC Based Fault Learning Approach, International Journal of Control, 2007, 80(10):1576-1594.
Email:dqzhu@shmtu.edu.cn