Skip to content
This repository has been archived by the owner on Jan 24, 2025. It is now read-only.

Study dynamic RMC algorithms #760

Open
vekkiokonio opened this issue Feb 20, 2024 · 0 comments
Open

Study dynamic RMC algorithms #760

vekkiokonio opened this issue Feb 20, 2024 · 0 comments
Assignees
Labels
team-research Issues for Research Team

Comments

@vekkiokonio
Copy link

Current adaptation of RMC is based on AIAD (additive increase additive decrease) algorithm. While this works reasonably well in combination with ICCA, there may be better algorithms to adapt RMC. We would like to investigate, eg, PI control.

@vekkiokonio vekkiokonio self-assigned this Feb 20, 2024
@vekkiokonio vekkiokonio converted this from a draft issue Feb 20, 2024
@vekkiokonio vekkiokonio added the team-research Issues for Research Team label Feb 20, 2024
@vekkiokonio vekkiokonio moved this from Backlog to In Progress in iota-core Feb 22, 2024
@vekkiokonio vekkiokonio moved this from In Progress to Backlog in iota-core Mar 1, 2024
@vekkiokonio vekkiokonio moved this from Backlog to Product Backlog in iota-core Mar 4, 2024
@vekkiokonio vekkiokonio changed the title Define RMC adaptation algorithm Study dynamic RMC algorithms Mar 4, 2024
Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Labels
team-research Issues for Research Team
Projects
Status: Product Backlog
Development

No branches or pull requests

1 participant