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dc.contributor.authorDas, S
dc.contributor.authorPan, I
dc.contributor.authorDas, S
dc.date.accessioned2018-01-22T11:11:10Z
dc.date.issued2016-06-08
dc.description.abstractThe paper explores the effect of random parameter switching in a fractional order (FO) unified chaotic system which captures the dynamics of three popular sub-classes of chaotic systems i.e. Lorenz, Lu and Chen's family of attractors. The disappearance of chaos in such systems which rapidly switch from one family to the other has been investigated here for the commensurate FO scenario. Our simulation study show that a noise-like random variation in the key parameter of the unified chaotic system along with a gradual decrease in the commensurate FO is capable of suppressing the chaotic fluctuations much earlier than that with the fixed parameter one. The chaotic time series produced by such random parameter switching in nonlinear dynamical systems have been characterized using the largest Lyapunov exponent (LLE) and Shannon entropy. The effect of choosing different simulation techniques for random parameter FO switched chaotic systems have also been explored through two frequency domain and three time domain methods. Such a noise-like random switching mechanism could be useful for stabilization and control of chaotic oscillation in many real-world applications.en_GB
dc.identifier.citationVol. 91, October 2016, pp. 157-173en_GB
dc.identifier.doi10.1016/j.chaos.2016.05.014
dc.identifier.urihttp://hdl.handle.net/10871/31144
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.subjectFractional order chaosen_GB
dc.subjectLorenz-Lu-Chen familyen_GB
dc.subjectLyapunov exponenten_GB
dc.subjectRandom parameter switched chaosen_GB
dc.subjectUnified chaotic systemen_GB
dc.subjectNoise-induced chaosen_GB
dc.titleEffect of Random Parameter Switching on Commensurate Fractional Order Chaotic Systemsen_GB
dc.typeArticleen_GB
dc.date.available2018-01-22T11:11:10Z
dc.identifier.issn0960-0779
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalChaos, Solitons and Fractalsen_GB


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