Iterative learning control for linear motor system with time delay and data dropout
ZHOU Ying
HE Lei
ZHENG Feng
Abstract：For linear motor control system based on networks with one-step delay and data dropout,a P-type iterative learning control method is studied in this paper.The one-step delay is described by a stochastic Bernoulli process with a known probability.The data dropout is also described by a stochastic Bernoulli process,whose probability is unknown and belongs to a known numerical interval.Then the convergence condition of the P-type algorithm is derived by using λ norm theory.The output of the linear motor converges to the desired output asymptotically through choosing learning gain factor properly.Finally a simulation is conducted and the results demonstrate the validity of the proposed design method.
Keywords：data dropoutone-step delaylinear motoriterative learning
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1631-1636 )