
Data-Driven Iterative Learning Control for Discrete-Time Systems
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"The DDILC presented in this monograph has three main contributions, i.e., the robustness against nonrepetitive uncertainties is improved, a good transient response is realized, and a rigorous theoretical analysis for the stability, convergence, and robustness is provided. Some new concepts of iterative pseudo-partial derivative and iterative pseudo-gradient as well as a novel analysis method using the contraction mapping principle and iterative dynamic linearization are introduced well and systematically studied, which makes the book well worth reading . ." (Maobin Lu, Mathematical Reviews, July, 2024)
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