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Parameter identification of fractional order linear system based on Haar wavelet operational matrix

机译:基于Haar小波运算矩阵的分数阶线性系统参数辨识。

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Fractional order systems can be more adequate for the description of dynamical systems than integer order models, however, how to obtain fractional order models are still actively exploring. In this paper, an identification method for fractional order linear system was proposed. This is a method based on input-output data in time domain. The input and output signals are represented by Haar wavelet, and then fractional order systems described by fractional order differential equations are transformed into fractional order integral equations. Taking use of the Haar wavelet operational matrix of the fractional order integration, the fractional order linear system can easily be converted into a system of algebraic equation. Finally, the parameters of the fractional order system are determined by minimizing the errors between the output of the real system and that of the identified system. Numerical simulations, involving integral and fractional order systems, confirm the efficiency of the above methodology. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.
机译:分数阶系统比整数阶模型更适合描述动力学系统,但是,如何获得分数阶模型仍在积极探索中。提出了分数阶线性系统的辨识方法。这是一种基于时域输入输出数据的方法。输入和输出信号由Haar小波表示,然后将由分数阶微分方程描述的分数阶系统转换为分数阶积分方程。利用分数阶积分的Haar小波运算矩阵,分数阶线性系统可以轻松地转换为代数方程组。最后,通过最小化实际系统的输出与所识别系统的输出之间的误差来确定分数阶系统的参数。涉及积分和分数阶系统的数值模拟证实了上述方法的效率。 (C)2015 ISA。由Elsevier Ltd.出版。保留所有权利。

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