Conference paper
Localised filtering for transport models
Emanuele Ragnoli, Sergiy Zhuk, et al.
CDC 2015
Recently the additive increase multiplicative decrease (AIMD) algorithm has been applied in fields other than congestion control in communications networks. A major attribute of these new applications is that the share of each user is bounded. Simulations suggest that AIMD performs well, even in the case of individual constraints on each user. In this paper, we provide a formal proof of exponential convergence to a unique fixed-point for the AIMD algorithm under individual user constraints.
Emanuele Ragnoli, Sergiy Zhuk, et al.
CDC 2015
Martin Corless, Robert Shorten
ECC 2015
Mingming Liu, Sean McLoone, et al.
APPEEC 2013
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
CDC 2015