Analysis & Design of Congestion Avoidance Scheme For AQM problem For Linear Systems
نویسنده
چکیده
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 Notif ication (ECN) marking packets before a router's queue is full. KeywordsAQM, ECN, Discrete time system, Time-delay, KF, RKF, Kalman gain —————————— ——————————
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