Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0218127402004905
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dc.titleTime delayed repetitive learning control for chaotic systems
dc.contributor.authorSong, Y.
dc.contributor.authorYu, X.
dc.contributor.authorChen, G.
dc.contributor.authorXu, J.-X.
dc.contributor.authorTian, Y.-P.
dc.date.accessioned2014-06-19T03:30:35Z
dc.date.available2014-06-19T03:30:35Z
dc.date.issued2002
dc.identifier.citationSong, Y., Yu, X., Chen, G., Xu, J.-X., Tian, Y.-P. (2002). Time delayed repetitive learning control for chaotic systems. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering 12 (5) : 1057-1065. ScholarBank@NUS Repository. https://doi.org/10.1142/S0218127402004905
dc.identifier.issn02181274
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72025
dc.description.abstractIn 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1142/S0218127402004905
dc.sourceScopus
dc.subjectChaos control
dc.subjectLearning control
dc.subjectTime-delay
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1142/S0218127402004905
dc.description.sourcetitleInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
dc.description.volume12
dc.description.issue5
dc.description.page1057-1065
dc.identifier.isiut000176713500012
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