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Effect of random parameter switching on commensurate fractional order chaotic systems
Affiliation:1. Department of Power Engineering, Jadavpur University, Salt Lake Campus, LB-8, Sector 3, Kolkata-700098, India;2. Department of Physics, University of Cambridge, Cambridge CB3 0HE, United Kingdom;3. Department of Earth Science and Engineering, Imperial College London, Exhibition Road, SW7 2AZ, United Kingdom;4. Reactor Control Division, Bhabha Atomic Research Centre, Mumbai-400085, India;1. Photonics group, Research Institute for Applied Physics and Astronomy, University of Tabriz, Tabriz, Iran;2. Department of Physics, Payame Noor University, P.O. Box: 19395-3697, Tehran, Iran;1. Institute of Mathematics of the Romanian Academy, 21 Calea Griviţei Street, 010702; P.O. Box 1-764, 014700, Bucharest, Romania;2. Department of mathematics, University of Illinois, 1409 West Green Street, Urbana, IL 61801, USA
Abstract:The 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.
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