Wearable Respiratory Monitoring: Algorithms and System Design
时间:  
2010-12-21 09:00:00
  来源:  
自动化科学与工程学院
  作者:  

演讲人简介:
    The nano-positioner is composed of a piezo electric actuator(PEA) and a positioning echanism (PM). Due to the existence of hysteretic nonlinearity in the PEA and the friction in the PM, the high precision control of the piezo-actuated positioner is a challenging task. This research discusses the high precision control for the piezo-actuated stage by using the adaptive method.  The proposed control law ensures the global stability of the controlled positioner, and the position error can be controlled to approach to
zero asymptotically. Experimental results show the effectiveness of the proposed method.


报告内容简介:

    Xinkai Chen received his Ph.D. degree in engineering from Nagoya University, Japan, in 1999. He is currently a full professor in the
Department of Electronic and Information Systems, Shibaura Institute of Technology, Japan. His research interests include adaptive control, motion control and machine vision. Dr. Chen is serving on the editorial boards of several journals, including IEEE Transactions on
Automatic Control, International Journal of Advanced Mechatronic Systems, etc. He has also severed as an organizing committee member for many conferences.