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Identification of fractional order system using Particle Swarm Optimization

机译:基于粒子群算法的分数阶系统识别

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This paper presents the identification of fractional order system in frequency domain by using Particle Swarm Optimization (PSO) algorithm. PSO is extended to estimate the fractional derivative order. Meanwhile, recursive least squares algorithm is associated to calculate the denominator and numerator coefficients of transfer function. Simulation examples with noise-free and noisy data are given to verify the effectiveness of the method proposed in this paper.
机译:本文提出了利用粒子群算法(PSO)对频域分数阶系统进行辨识。 PSO被扩展以估计分数导数阶数。同时,结合递推最小二乘算法来计算传递函数的分母和分子系数。给出了具有无噪声和高噪声数据的仿真实例,以验证本文提出的方法的有效性。

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