A numerical method for determining monotonicity and convergence rate in iterative learning control
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Publication:3550787
DOI10.1080/00207170903131177zbMath1191.68489OpenAlexW2155869010MaRDI QIDQ3550787
Andrew G. Alleyne, Douglas A. Bristow, Kira Barton
Publication date: 6 April 2010
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207170903131177
Related Items (4)
Computationally‐Light Non‐Lifted Data‐Driven Norm‐Optimal Iterative Learning Control ⋮ Linear computational complexity robust ILC for lifted systems ⋮ A computationally efficient norm optimal iterative learning control approach for LTV systems ⋮ Towards transient growth analysis and design in iterative learning control
Uses Software
Cites Work
- Spectral transformations for Hermitian Toeplitz matrices
- The QR iteration method for Hermitian quasiseparable matrices of an arbitrary order
- Monotonically convergent iterative learning control for linear discrete-time systems
- Large-scale eigenvalue calculations for stability analysis of steady flows on massively parallel computers
- Recent computational developments in Krylov subspace methods for linear systems
- ARPACK Users' Guide
- Iterative learning control and repetitive control for engineering practice
- Synthesis of robust multivariable iterative learning controllers with application to a wafer stage motion system
- Time and frequency domain convergence properties in iterative learning control
- On restarting the Arnoldi method for large nonsymmetric eigenvalue problems
- Monotonic Convergence of Iterative Learning Control for Uncertain Systems Using a Time-Varying Filter
- On the design of ILC algorithms using optimization
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