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Optimal tuning of fractional controllers using genetic algorithms

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Abstract

This study addresses the optimization of fractional algorithms for the discrete-time control of linear and non-linear systems. The paper starts by analyzing the fundamentals of fractional control systems and genetic algorithms. In a second phase the paper evaluates the problem in an optimization perspective. The results demonstrate the feasibility of the evolutionary strategy and the adaptability to distinct types of systems.

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Authors and Affiliations

  1. Dept. of Electrical Engineering, Institute of Engineering of Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072, Porto, Portugal

    J. A. Tenreiro Machado

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  1. J. A. Tenreiro Machado
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Correspondence to J. A. Tenreiro Machado.

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Tenreiro Machado, J.A. Optimal tuning of fractional controllers using genetic algorithms. Nonlinear Dyn 62, 447–452 (2010). https://doi.org/10.1007/s11071-010-9731-5

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  • DOI: https://doi.org/10.1007/s11071-010-9731-5

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