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- W2606602353 abstract "In this paper, the identification problem of fractional-order chaotic systems is proposed and investigated via an evolutionary optimization approach. Different with other studies to date, this research focuses on the identification of fractional-order chaotic systems with not only unknown orders and parameters, but also unknown initial values and structure. A group of fractional-order chaotic systems, i.e., Lorenz, Lü, Chen, Rössler, Arneodo and Volta chaotic systems, are set as the system candidate pool. The identification problem of fractional-order chaotic systems in this research belongs to mixed integer nonlinear optimization in essence. A powerful evolutionary algorithm called composite differential evolution (CoDE) is introduced for the identification problem presented in this paper. Extensive experiments are carried out to show that the fractional-order chaotic systems with unknown initial values and structure can be successfully identified by means of CoDE." @default.
- W2606602353 created "2017-04-28" @default.
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- W2606602353 date "2017-06-01" @default.
- W2606602353 modified "2023-10-17" @default.
- W2606602353 title "Identification of fractional-order systems with unknown initial values and structure" @default.
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- W2606602353 doi "https://doi.org/10.1016/j.physleta.2017.03.048" @default.
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