
doi: 10.1002/acs.999
handle: 1959.8/89739 , 2440/53117
AbstractWe investigate the application of a model‐free linear quadratic Gaussian (LQG) subspace‐based predictive controller to Internet congestion control. Specifically, we consider a classically designed LQG linear congestion controller with a non‐standard performance index and determine whether a model‐free controller is a viable alternative in this instance. We employ the model‐free subspace predictive controller methodology which we customize for end‐to‐end transmission control protocol (TCP) congestion control. A series of network simulations support the use of the more easily implementable model‐free controller over its classical analogue. We further demonstrate that the model‐free controller provides increased stability under transient network conditions when compared with the first feedback congestion controller, TCP Vegas. Copyright © 2007 John Wiley & Sons, Ltd.
629, Internet, model-free LQG, Identification in stochastic control theory, Linear systems in control theory, Communication networks in operations research, TCP congestion control, subspace predictive control, Linear-quadratic optimal control problems, subspace predictiv econtrol, internet
629, Internet, model-free LQG, Identification in stochastic control theory, Linear systems in control theory, Communication networks in operations research, TCP congestion control, subspace predictive control, Linear-quadratic optimal control problems, subspace predictiv econtrol, internet
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
