Xiaoxin Yang1, Saleem Riaz2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 605-626, 2022, DOI:10.32604/cmes.2022.020412
Abstract An iterative learning control algorithm based on error backward association and control parameter correction has
been proposed for a class of linear discrete time-invariant systems with repeated operation characteristics, parameter disturbance, and measurement noise taking PD type example. Firstly, the concrete form of the accelerated
learning law is presented, based on the detailed description of how the control factor is obtained in the algorithm.
Secondly, with the help of the vector method, the convergence of the algorithm for the strict mathematical proof,
combined with the theory of spectral radius, sucient conditions for the convergence of the algorithm is presented
for… More >
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