Please use this identifier to cite or link to this item:
|Title:||Time delayed repetitive learning control for chaotic systems|
|Citation:||Song, 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|
|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.|
|Source Title:||International Journal of Bifurcation and Chaos in Applied Sciences and Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 12, 2018
WEB OF SCIENCETM
checked on Jun 5, 2018
checked on Jun 22, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.