LSSVM-Based Online Identification for T-S Model
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Graphical Abstract
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Abstract
An online identification method based on least square support vector machine (LSSVM) with time window for T-S model is proposed,including structure and parameter identifications.Structure identification depends on the potential of data in the time window,and parameter identification is based on LSSVM,resulting in high identification speed and precision.The simulation result illustrates the effectiveness of the proposed method.
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