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Identification of fractional-order systems via a switching differential evolution subject to noise perturbations
Authors:Wu Zhu  Jian-an Fang  Yang Tang  Wenbing Zhang  Yulong Xu
Institution:1. College of Information Science and Technology, Donghua University, Shanghai 201620, China;2. Institute of Physics, Humboldt University, Berlin 12489, Germany;3. Potsdam Institute for Climate Impact Research, Potsdam 14415, Germany;4. Research Institute for Intelligent Control and System, Harbin Institute of Technology, Harbin 150006, China;5. Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China
Abstract:In this Letter, a differential evolution variant, called switching DE (SDE), has been employed to estimate the orders and parameters in incommensurate fractional-order chaotic systems. The proposed algorithm includes a switching population utilization strategy, where the population size is adjusted dynamically based on the solution-searching status. Thus, this adaptive control method realizes the identification of fractional-order Lorenz, Lü and Chen systems in both deterministic and stochastic environments, respectively. Numerical simulations are provided, where comparisons are made with five other State-of-the-Art evolutionary algorithms (EAs) to verify the effectiveness of the proposed method.
Keywords:Fractional-order chaotic systems  Differential evolution  Population dynamics  System identification
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