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How to keep your swarms diversified

version 1.0.0.0 (1.39 MB) by Bartlomiej Ufnalski
Several diversity measures are illustrated within the context of repetitive control.

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Updated 18 Apr 2016

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This submission already supports: mean standard deviation across all subswarms, mean standard deviation across each swarm, dimension-wise variance, dimension-wise radius, dimension-wise mean distance to the mean. The dimension-wise radius is our winner in the category of hard real-time systems. This is going to be justified in our paper "Direct Multi-Swarm Repetitive Controller for the Sine Wave Inverter -- on Keeping Particles Diversified in a Dynamic and Noisy Environment" accepted for presentation at CPE-POWERENG 2016 conference. Keep your stick on the ice!

Cite As

Bartlomiej Ufnalski (2020). How to keep your swarms diversified (https://www.mathworks.com/matlabcentral/fileexchange/55606-how-to-keep-your-swarms-diversified), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility
Created with R2015a
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