Time delayed repetitive learning control for chaotic systems

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

41 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1057-1065
Journal / PublicationInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Volume12
Issue number5
Publication statusPublished - 2002

Abstract

In this paper, a time-delayed chaos control method based on repetitive learning is proposed. A general repetitive learning control structure based on the invariant manifold of the chaotic system is given. 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 the conventional repetitive learning control, no exact knowledge (analytic representation) of the target unstable periodic orbits is needed, except for the time delay constant, which can be identified via either experiments or adaptive learning. The controller effectively stabilizes the states of the continuous-time chaos on desired unstable periodic orbits. Simulations on the Dufiing and Lorenz chaotic systems are provided to verify the design and analysis.

Research Area(s)

  • Chaos control, Learning control, Time-delay