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- W2082457587 abstract "Improved clonal selection algorithms and RBF neural network are used for solving nonlinear optimization problems and modeling respectively in iterative learning control, and a nonlinear optimal iterative learning control algorithm (NOILCA) is proposed. In this method, an improved clonal selection algorithm is used for solving the optimum input for the next iteration; another one is used to update the RBF neural network model of real plant. Compared with GA-ILC, NOILCA has faster convergence speed, and is able to deal with the problem of inaccurate plant model, can obtain satisfactory tracking through the few several iterations." @default.
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- W2082457587 date "2013-08-01" @default.
- W2082457587 modified "2023-09-26" @default.
- W2082457587 title "A Nonlinear Optimal Iterative Learning Control Algorithm Based on RBF Neural Network and Clonal Selection Algorithm" @default.
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- W2082457587 doi "https://doi.org/10.4028/www.scientific.net/amr.753-755.1225" @default.
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