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Repetitive Processes Based Iterative Learning Control Designed by LMIs
Author(s) -
Jamel Dridi,
Selma Ben Attia,
Salah Salhi,
Mekki Ksouri
Publication year - 2012
Publication title -
isrn applied mathematics
Language(s) - English
Resource type - Journals
eISSN - 2090-5572
pISSN - 2090-5564
DOI - 10.5402/2012/365927
Subject(s) - stability (learning theory) , control theory (sociology) , iterative learning control , linear system , computation , scheme (mathematics) , differential (mechanical device) , matrix (chemical analysis) , mathematics , work (physics) , computer science , control (management) , algorithm , engineering , mathematical analysis , mechanical engineering , materials science , artificial intelligence , machine learning , composite material , aerospace engineering
This paper addressed the stability analysis along the pass and the synthesis problem of linear 2D/repetitive systems. The algorithms for control law design are developed using a strong form of stability for discrete and differential linear repetitive processes known as stability along the pass. In particular, recent work on the use of linear matrix inequalities- (LMIs-) based methods in the design of control schemes for discrete and differential linear repetitive processes will be highlighted by the application of the resulting theory of linear model. The resulting design computations are in terms of linear matrix inequalities (LMIs). Simulation results demonstrate the good performance of the theoretical scheme.

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