Authors:
Ali Soleimanizadeh,Mohammad Ali Nekui,DOI NO:
https://doi.org/10.26782/jmcms.2021.09.00004Keywords:
Fractional-order system,System identification,Biogeography-based Optimization,Abstract
System identification is an important task in the control theory. Classical control theory is usually known for integer-order processes. Nowadays real processes are fractional order usually. According to a large number of fractional-order systems, identification of these systems is so important. This paper aims to evaluate an improved Biogeography-based Optimization (BBO) approach to estimate the parameters and orders of fractional-order systems. After that, a method based on this algorithm has been introduced to synchronization of chaotic systems. Results show that the proposed scheme has high accuracy.Refference:
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