Robust conditions for iterative learning control in state feedback and output injection paradigm

DOI10.1155/2019/8023730zbMath1416.93053OpenAlexW2910951451MaRDI QIDQ1999303

Tarek S. Altowaim, Muhammad A. Alsubaie, Salem H. Salamah, Mubarak KH. Alhajri

Publication date: 26 June 2019

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/8023730

zbMATH Keywords

state feedbackrobustnessiterative learning controloutput injectionrobust design

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Feedback control (93B52) Design techniques (robust design, computer-aided design, etc.) (93B51) Linear systems in control theory (93C05)

Cites Work

• Control systems theory and applications for linear repetitive processes.
• The internal model principle for linear multivariable regulators
• Iterative learning control. Robustness and monotonic convergence for interval systems.
• A common setting for the design of iterative learning and repetitive controllers with experimental verification
• Predictive optimal iterative learning control
• Internal-model-based design of repetitive and iterative learning controllers for linear multivariable systems
• Experimental evaluation of iterative learning control algorithms for non-minimum phase plants

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