Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

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 join this conversation on GitHub. Already have an account? Sign in to comment
Labels
team-research Issues for Research Team
Projects
Status: Product Backlog
Development

No branches or pull requests

1 participant