Time-delayed chaos control with repetitive learning

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

3 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)4915-4919
Journal / PublicationProceedings of the IEEE Conference on Decision and Control
Volume5
Publication statusPublished - 2001
Externally publishedYes

Conference

Title40th IEEE Conference on Decision and Control (CDC)
PlaceUnited States
CityOrlando
Period4 - 7 December 2001

Abstract

In this paper, a time-delayed chaos control method based on repetitive learning is proposed. The integration of the repetitive learning control principle and the time delayed chaos control technique enables adaptive learning of appropriate control actions from learning cycles. In contrast to conventional repetitive learning control, no exact knowledge (analytic representation) of the target periodic orbits is needed, except for the time delay constant, which can be identified via either experiments or adaptive learning methods. To facilitate the discussion, the typical chaotic Duffing system is used as an example for illustration of the general methodology. Simulation result is provided to show the effectiveness of the proposed approach.

Citation Format(s)

Time-delayed chaos control with repetitive learning. / Song, Yanxing; Yu, Xinghuo; Xu, Jian-Xin; Chen, Guanrong.

In: Proceedings of the IEEE Conference on Decision and Control, Vol. 5, 2001, p. 4915-4919.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal