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- W2948894927 abstract "ABSTRACT A novel identification algorithm is proposed to deal with the modelling issues of linear switched systems under the switching modes being unknown. The main contributions of this paper embody the following aspects: (1) for simplifying the identification problems, the label functions are proposed to replace the switching states of the modes; (2) The recursive least square algorithm is used to identify the system parameters, and the convergence performance of the proposed algorithm is studied. By using convergence analysis, the parameter estimation error can converge to zero point when the input signals satisfy persistent excited conditions and the total time of mode mismatch is limited. Finally, the effectiveness of the proposed method is verified by a simulation example." @default.
- W2948894927 created "2019-06-14" @default.
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- W2948894927 date "2019-06-02" @default.
- W2948894927 modified "2023-09-26" @default.
- W2948894927 title "Convergence analysis of a least squared algorithm of linear switched identification" @default.
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- W2948894927 doi "https://doi.org/10.1080/23307706.2019.1623097" @default.
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