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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 2    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 2,February 2012
Analysis & Design of Congestion Avoidance Scheme for Active Queue Management Problem for Linear Systems
Full Text(PDF, )  PP.406-409  
Author(s)
Asst. Prof Rakesh Mandal and Asst. Prof. Anirudh Mudaliar
KEYWORDS
AQM, ECN, Discrete time system, Time-delay, KF, RKF, Kalman gain
ABSTRACT
The Kalman Filter (KF) is used to optimally estimate system states from the sequential noisy measurements of the outputs. On the other hand, real-time systems are often modeled with uncertainties and time-delays. Developing KF algorithms for such systems is an important problem to obtain optimal state estimates by utilizing the information on uncertainties and time-delays. First, designing of KF for nominal discrete-time systems is studied. Considering the covariance of the error in the estimation the KF algorithm is derived which is further tested on a numerical example. A designed KF is tested on a real-time problem i.e. Active Queue Management (AQM) problem. In Internet routers, Active Queue Management (AQM) is a technique that consists in dropping or Explicit Congestion Notification (ECN) marking packets before a router's queue is full
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