A General Framework for Iterative Learning Control

In this contribution we place ILC in the realm of numerical optimization. This clarifies the role played by the design variables and how they affect e.g. convergence properties. We give a model bas ...

[1]  Norihiko Adachi,et al.  Iterative learning control using adjoint systems for nonlinear non-minimum phase systems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[2]  Ola Markusson Model and System Inversion with Applications in Nonlinear System Identification and Control , 2001 .

[3]  Chong-Ho Choi,et al.  Iterative learning control with advanced output data for nonminimum phase systems , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[4]  Alan V. Oppenheim,et al.  Discrete-time Signal Processing. Vol.2 , 2001 .

[5]  Mikael Norrlöf,et al.  Iterative Learning Control : Analysis, Design, and Experiments , 2000 .

[6]  Biswa Nath Datta,et al.  Applied and computational control, signals, and circuits , 1999 .

[7]  Michael J. Grimble,et al.  Iterative Learning Control for Deterministic Systems , 1992 .

[8]  D. Luenberger Optimization by Vector Space Methods , 1968 .

[9]  Danwei Wang,et al.  Convergence and Robustness of Discrete Time Nonlinear Systems with Iterative Learning Control , 1998, Autom..

[10]  B. Paden,et al.  Iterative learning control for nonlinear nonminimum phase plants with input disturbances , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[11]  N. J. Doelman,et al.  A new subspace based approach to iterative learning control , 2001, 2001 European Control Conference (ECC).

[12]  S. Saab Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems , 1999 .

[13]  Chong-Ho Choi,et al.  Perfect tracking for maximum-phase nonlinear systems by iterative learning control , 2001, Int. J. Syst. Sci..