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Convergence analysis of PDα-type fractional-order iterative learning control in the sense of Lnorm

ZHANG Kejun1,2, PENG Guohua1   

  1. 1.School of Natural and Applied Sciences, Northwestern Polytechnical University, Xi’an 710129, China;
    2. School of Math and Physical Sciences, Xuzhou Institute of Technology, Xuzhou 221018, China
  • Online:2017-09-27 Published:2010-01-03

Abstract:

The monotone convergence of PDα-type fractionalorder iterative learning control is discussed for a class of fractional-order linear system. First, the convergences of first and second-order PDα-type control algorithms are analyzed and the sufficient conditions for the monotone convergence are deduced in the sense of Lebesguep(Lp) norm, and extended to the convergence condition of the N order control algorithm. Then, the convergence speeds of both control algorithms are described in detail. The analysis indicates that the sufficient condition of the control algorithm is determined by the learning gains and the attributes of the system itself. The simulation experiment validates the correctness of the theory and the feasibility of this algorithm.

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