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Identification of Countercurrent Rare Earth Extraction Process based on Local Linear Weighted State-space Models

机译:基于局部线性加权状态空间模型的逆流稀土萃取过程识别

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摘要

The identification problem of rare earth extraction process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the optimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space is considered and the parameter update is restricted to the direction that change the input-output behavior of the system by orthogonal gradient search. Finally, real industrial experiment of rare earth extraction is implemented and the results show the efficiency of the proposed method.
机译:本文考虑了基于局部线性加权状态空间模型的稀土提取过程的识别问题。该参数由输出误差成本函数的优化确定。另外,考虑了完全参数化的状态空间的非唯一性,并且参数更新被限制在通过正交梯度搜索改变系统的输入输出行为的方向上。最后,进行了稀土萃取的实际工业实验,结果表明了该方法的有效性。

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