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Infinite Impulse Response Approximations to the Non-integer Order Integrator Using Cuckoo Search Algorithm

机译:无限脉冲响应近似于杜鹃搜索算法的非整数积分器的近似

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摘要

A popular metaheuristic global optimization technique called Cuckoo Search Algorithm (CSA) is employed to design non-integer order integrators (NOIs) in terms of the Infinite Impulse Response (IIR) templates in this paper. Extensive comparisons on the basis of design quality robustness, error convergence, and optimization time of the CSA-based NOIs are carried out with the Particle Swarm Optimization (PSO) based designs. Results demonstrate the efficient performance of CSA in exploring the multimodal, non-linear, and non-uniform error surface for this optimization problem. The CSA-based designs also outperform the recent literature by 9.67 decibel (dB) and 19.26 dB in terms of mean absolute relative magnitude error (MARME) and maximum absolute magnitude error (MAME) metrics, respectively.
机译:一种流行的成像全局优化技术,称为Cuckoo搜索算法(CSA),用于根据本文的无限脉冲响应(IIR)模板来设计非整数集成商(NOIS)。基于CSA的NOIS的设计质量鲁棒性,误差收敛和优化时间的广泛比较是基于基于粒子群优化(PSO)的设计。结果展示了CSA在探索该优化问题的多模式,非线性和非均匀误差面方面的有效性能。基于CSA的设计也以9.67分贝(DB)和19.26 dB的近期文献分别优于最近的文献,分别以平均的绝对相对幅度误差(MARME)和最大绝对幅度误差(MAME)度量来实现。

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