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

机译:使用杜鹃搜索算法的非整数阶积分器的无限脉冲响应逼近

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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:本文基于无穷冲激响应(IIR)模板,使用一种流行的元启发式全局优化技术,称为Cuckoo搜索算法(CSA),以设计非整数阶积分器(NOI)。使用基于粒子群优化(PSO)的设计对基于CSA的NOI的设计质量鲁棒性,错误收敛和优化时间进行了广泛的比较。结果证明了CSA在探索针对该优化问题的多峰,非线性和非均匀误差面方面的有效性能。基于CSA的设计在平均绝对相对幅度误差(MARME)和最大绝对幅度误差(MAME)指标方面也分别比最新文献高9.67分贝(dB)和19.26 dB。

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