Abstract
Modern factories are facing severe challenges from production safety to dealing tons of process data. Aiming to provide powerful tools for system analysis and design through data-driven techniques, this paper proposed a novel recursive data-driven Stable Image Representation (SIR) identification method. By controlling the rows future and past vectors, the algorithm given in this paper can provide adjustable identification precision with relatively low computational load. The correctness of this paper has been shown in a Double loop DC motor system. The work in this paper is essential to the future research on data-driven recursive realization of stability margin and gap metric.
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