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Identification of Fractional Order Transfer Function Model Using Biologically Inspired Algorithms

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Automation 2019 (AUTOMATION 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 920))

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Abstract

This paper presents the identification of a non-integer order model for the heat transfer process using the particle swarm optimization algorithm (PSO), cockroach swarm optimization algorithm (CSO), gray wolf optimizer algorithm (GWO) and fminsearch function. In the beginning, fractional order systems have been discussed. Then an overview of individual optimization methods was prepared. Simulations have been carried out for all used the algorithms.

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Correspondence to Klaudia Dziedzic .

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Dziedzic, K. (2020). Identification of Fractional Order Transfer Function Model Using Biologically Inspired Algorithms. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2019. AUTOMATION 2019. Advances in Intelligent Systems and Computing, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-030-13273-6_5

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