Optimal design of FIR fractional order differentiator using cuckoo search algorithm

作者：

Highlights：

• A novel weighted least square (WLS) fitness function is adopted.

• The proposed method outperforms the GA in terms magnitude and phase error.

• The proposed method is superior to the interpolation based methods.

• Fast convergence rate is achieved.

摘要

•A novel weighted least square (WLS) fitness function is adopted.•The proposed method outperforms the GA in terms magnitude and phase error.•The proposed method is superior to the interpolation based methods.•Fast convergence rate is achieved.

论文关键词：Cuckoo search algorithm,Fractional order differentiator,Meta-heuristics,Genetic algorithm,Lévy flight

论文评审过程：Available online 27 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.020