Qing Zhu
Affiliations:- Southeast University, Department of Automatic Control, Nanjing, China
- RMIT University, Melbourne, Australia (2013 - 2014)
- Yangzhou University, College of Information Engineering, Department of Automation, China (former)
- Southeast University, Department of Automatic Control, Nanjing, China (PhD 2008)
According to our database1,
Qing Zhu
authored at least 16 papers
between 2007 and 2015.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2015
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015
Preliminary Study in a Novel Robotic-Assisted Femoral Shaft Fracture Reduction System.
Proceedings of the Robot Intelligence Technology and Applications 4, 2015
Development of intraoperative noninvasive force measuring system during femoral fracture reduction.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
Fuzzy sliding mode control of an upper limb exoskeleton for robot-assisted rehabilitation.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
2014
2013
Adaptive neural tracking control of pure-feedback nonlinear systems with unknown gain signs and unmodeled dynamics.
Neurocomputing, 2013
2012
Adaptive neural control of non-affine pure-feedback non-linear systems with input nonlinearity and perturbed uncertainties.
Int. J. Syst. Sci., 2012
New results on adaptive neural control of a class of nonlinear systems with uncertain input delay.
Neurocomputing, 2012
Int. J. Autom. Comput., 2012
2010
Adaptive Fuzzy Control of Nonlinear Systems in Pure Feedback Form Based on Input-to-State Stability.
IEEE Trans. Fuzzy Syst., 2010
Neurocomputing, 2010
2009
Neurocomputing, 2009
Adaptive variable structure control of MIMO nonlinear systems with time-varying delays and unknown dead-zones.
Int. J. Autom. Comput., 2009
2008
Neurocomputing, 2008
Neurocomputing, 2008
2007
Robust Neural Networks Control for Uncertain Systems with Time-Varying Delays and Sector Bounded Perturbations.
Proceedings of the Advances in Neural Networks, 2007