The Application of Vector Lyapunov Functions in Iterative Learning Control

DOI

10.2991/csece-18.2018.68How to use a DOI?

Keywords

iterative learning control; convergence; vector lyapunov function; ?- norm

Abstract

This paper presents iterative learning control of multiple state vector system, whose initial states are equal. By introducing the vector Lyapunov function, it involves interesting criteria to guarantee the robust convergence of the tracking error in the sense of the ?- norm. Finally, the validity of the proposed method is verified by an example.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qunli Zhang
PY  - 2018/02
DA  - 2018/02
TI  - The Application of Vector Lyapunov Functions in Iterative Learning Control
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 315
EP  - 320
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.68
DO  - 10.2991/csece-18.2018.68
ID  - Zhang2018/02
ER  -