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Performance index based learning controls for the partial non-regular systems using lifting technique
Received:June 21,2007  Revised:April 25,2008
Keywords:Iterative learning control  Non-regular systems  Lifting technique
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Shengyue YANG, Xiaoping FAN, Zhihua QU; School of Information Science and Engineering, Central South University, Changsha Hunan 410075, China; Department of Electrical and Computer Engineering, University of Central Florida, Orlando FL 32816, USA 
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Abstract:
      Deficiencies of the performance-based iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of performance index based ILCs for the partial non-regular systems. Two kinds of optimal ILCs based on different performance indices are considered. Finally, simulation examples are given to illustrate the feasibility of the proposed learning controls.
Shengyue YANG, Xiaoping FAN, Zhihua QU;.Performance index based learning controls for the partial non-regular systems using lifting technique[J].Journal of Control Theory and Applications,2009,7(2):197~.
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