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    Who's Who: Dr YangQuan Chen

Documents
Book
  • Iterative Learning Control: Convergence,Robustness and Applications - Chen,Yangquan and Wen,Changyun
    A system is called a `repetitive system' when it performs a given task repeatedly. Robotic and functional neuromuscular stimulation systems are examples of such systems. Iterative Learning Control (ILC), which is a relatively new area in the field of control, is proposed to control these types of systems. Generally speaking, a system under control may have uncertainties in its dynamic model and its environment. One attractive point in ILC is the utilisation of the system repetitiveness to reduce such uncertainties and in turn to improve the control performance by operating the system repeatedly. ILC is a feedforward control strategy that updates, through iterative learning, control signals at every repeated operation. As the number of iterations increases, the system tracking error over the entire operation time period including the transient portion will decrease and eventually vanish. This may not be possible for conventional non-iterative learning control. This booklet provides readers with a comprehensive coverage of iterative learning control and emphasises both theoretical and practical aspects. It provides some recent developments in ILC convergence and robustness analysis as well as issues in the ILC design. Get more details here. Buy the book!
Paper

News

Knowledge and Specializations
Optimization Knowledge:
Professional. Curve identification; optimal control; iterative learning control.


Software Knowledge:
BASIC, PASCAL Fortran77, Fortran90 C/C++ MATLAB RIOTS_95 http://www.crosswinds.net/~yqchen/riots

C166 Assembly


Application Specialities:

  • Design Planning
  • Resource Control
Industry Specialities:
  • Aerospace and Defense
  • Automotive
  • Chemicals, Petro Products, Plastics
  • Computer and Electronics
  • Education
  • Information
  • Machinery
  • Telecommunications
  • Transportation & Logistics


 
Contact Information:
Dr YangQuan Chen
4160 Old Main Hill
Room EL256
Logan
Utah
Zip/Post Code: 84322-4160
United States
Email: yqchen@ieee.org
Phone: +1 435-797-0148
http://www.crosswinds.net/~yqchen

Organizations
Utah State University, Research Assistant Professor, http://www.engineering.usu.edu/Departments/ece/projects/csois/people.html



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