The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
We study the stability of two queueing delay-based congestion control algorithms, the (p, 1)-proportionally fair algorithm and the global optimization algorithm. We linearize the ...
—This paper studies window flow control focusing on bridging the gap between microscopic factors such as burstiness in sub-RTT timescales, and observable macroscopic properties ...
Ao Tang, Lachlan L. H. Andrew, Krister Jacobsson, ...
We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter technique is adopted and modified to fit into the multi...
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...