基于CFE逼近的非整数阶离散状态空间传热模型参数辨识

K. Oprzȩdkiewicz, W. Mitkowski
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引用次数: 1

摘要

本文提出了一种新的非整数阶离散传热过程状态空间模型的参数辨识问题。该模型采用连续分数展开(CFE)近似,以较低的阶数和较短的记忆长度保证了较好的精度。通过对均方误差(MSE)代价函数的数值最小化来估计模型的参数。利用幂级数展开(PSE)近似将该模型与离散模型进行了比较。比较结果表明,所提出的模型与采用PSE近似的模型相比,使用更小的内存长度可以保证相同的精度。
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Parameter Identification for Non Integer Order, Discrete, State Space Model of Heat Transfer Process Using CFE Approximation
In the paper the parameters identification problem for a new, non integer order, discrete, state space model of heat transfer process is presented. The proposed model employes Continuous Fraction Expansion (CFE) approximation what assures good accuracy with relatively low order and short memory length. The parameters of the model are estimated via numerical minimization of the Mean Square Error (MSE) cost function. The proposed model is compared to discrete model using Power Series Expansion (PSE) approximation. Results of the comparison show, that the proposed model assures the same accuracy using significantly smaller memory length than model employing PSE approximation.
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