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- W2102023781 abstract "This paper investigates an identification approach of nonlinear system. Its basic idea of the method adopts a system model composed with classical models so as to change the system structure identification problem into a combinational problem. The hybrid algorithm of bacterial foraging optimization and particle swarm optimization technique is then applied to implement the identification on the system's structure and parameters. Finally, compared with particle swarm optimization algorithm, its results illustrate the rationality and effectiveness of the presented method." @default.
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- W2102023781 date "2011-03-01" @default.
- W2102023781 modified "2023-09-23" @default.
- W2102023781 title "Study on Method of Nonlinear System Identification" @default.
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- W2102023781 doi "https://doi.org/10.1109/icicta.2011.237" @default.
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