Algorithm of iterative learning control for singular systems with initial state learning
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    Abstract:

    For a class of singular systems operated repeatedly on finite interval,the paper proposes an iterative learning control algorithm based on initial state learning with index gain for control input.By using the operator theory,the paper gives the convergence conditions.The algorithm can speed up the convergence rate on the basis of ensuring convergence when compared with the closed-loop D type algorithm.The effectiveness of the iterative learning control algorithm is proved by the illustrative example.

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TIAN Senping, XU Huimin, XIE Shengli, FU Yuli. Algorithm of iterative learning control for singular systems with initial state learning[J]. Journal of Nanjing University of Information Science & Technology,2017,9(4):411-416

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  • Received:April 30,2017
  • Online: July 11,2017
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