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2012 | OriginalPaper | Chapter
Iterative Learning Algorithm Based on Extremum Seeking Algorithm and Its Application to Parameter Tuning
Authors : Hongwei Wang, Bin Zuo
Published in: Recent Advances in Computer Science and Information Engineering
Publisher: Springer Berlin Heidelberg
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To realize the auto-tuning of the learning factors of iterative learning algorithm (ILA), a novel ILA with variable learning factors is proposed by applying extremum seeking algorithm (ESA). Due to the optimization function of ESA, the proposed method guarantees that the controller parameters of missiles converge to their optimal values and the outputs of the controlled system quickly and exactly track their expected values. Simulation results validate the effectiveness of the proposed method.