Iterative learning control for intermittently sampled data: monotonic convergence, design, and applications

DOI10.1016/j.automatica.2022.110171zbMath1485.93172OpenAlexW4212820897MaRDI QIDQ2116638

Tom Oomen, Nard Strijbosch

Publication date: 18 March 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2022.110171

zbMATH Keywords

iterative learning controlincremental encodersintermittent data

Mathematics Subject Classification ID

Controllability (93B05) Sampled-data control/observation systems (93C57) Observability (93B07) Iterative learning control (93B47)

Related Items (3)

Robust fuzzy predictive switching control for nonlinear multi-phase batch processes with synchronous vs asynchronous cases ⋮ Alternating projection‐based iterative learning control for discrete‐time systems with non‐uniform trial lengths ⋮ Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Inferential iterative learning control: A 2D-system approach
• Suppressing intersample behavior in iterative learning control
• ILC for networked nonlinear systems with unknown control direction through random lossy channel
• A framework for analysis of observer-based ILC
• Robust Monotonic Convergent Iterative Learning Control
• Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation
• Robust monotone gradient-based discrete-time iterative learning control
• Iterative learning control for discrete-time systems with exponential rate of convergence
• Linear quadratic optimal learning control (LQL)
• Iterative learning control and repetitive control for engineering practice
• Data‐driven multivariable ILC: enhanced performance by eliminating L and Q filters
• Iterative learning control for networked stochastic systems with random packet losses
• Accelerated norm-optimal iterative learning control algorithms using successive projection
• On the design of ILC algorithms using optimization

This page was built for publication: Iterative learning control for intermittently sampled data: monotonic convergence, design, and applications