State observer-based iterative learning control design for discrete systems using the heavy ball method
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Publication:6646032
DOI10.1134/S0005117924700164MaRDI QIDQ6646032
P. V. Pakshin, Julia Emelianova, Eric Rogers
Publication date: 29 November 2024
Published in: Automation and Remote Control (Search for Journal in Brave)
stabilityconvergencelinear matrix inequalitiesiterative learning controlstate observervector Lyapunov functionrepetitive processesheavy ball method
Discrete-time control/observation systems (93C55) Iterative learning control (93B47) Observers (93B53)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Dissipativity and stabilization of nonlinear repetitive processes
- Control systems theory and applications for linear repetitive processes.
- Analysis of a high-order iterative learning control algorithm for uncertain nonlinear systems with state delays
- Iterative learning control design for discrete-time stochastic switched systems
- Stability analysis of high-order iterative learning control for a class of nonlinear switched systems
- Iterative learning control. Robustness and monotonic convergence for interval systems.
- Higher-order iterative learning control algorithm
- Some methods of speeding up the convergence of iteration methods
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