How to keep your swarms diversified
Several diversity measures are illustrated within the context of repetitive control.
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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 (2026). How to keep your swarms diversified (https://www.mathworks.com/matlabcentral/fileexchange/55606-how-to-keep-your-swarms-diversified), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.39 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Info on our paper has been added. (Direct Multi-Swarm Repetitive Controller for the Sine Wave Inverter -- on Keeping Particles Diversified in a Dynamic and Noisy Environment) |
