Establishing improved convergence and robustness properties for the repetitive learning control

DOI10.1016/j.amc.2012.05.025zbMath1277.93039OpenAlexW2029830600MaRDI QIDQ387525

Cristiano Maria Verrelli, Stefano Bifaretti, Patrizio Tomei

Publication date: 23 December 2013

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2012.05.025

zbMATH Keywords

global convergencenonlinear systemslearningpiecewise linear approximationasymptotic input learningoutput dependent uncertainties

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (7)

A larger family of nonlinear systems for the repetitive learning control ⋮ PI-generalizing saturated repetitive learning control for a class of nonlinear uncertain systems: robustness w.r.t. Relative degree zero or one ⋮ Learning control in spatial coordinates for the path-following of autonomous vehicles ⋮ Saturated repetitive control for a class of nonlinear systems: a contraction mapping method ⋮ Linear repetitive learning controls for nonlinear systems by Padé approximants ⋮ Repetitive Learning Control Design and Period Uncertainties ⋮ An adaptive learning controller for MIMO uncertain feedback linearizable nonlinear systems

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