Kalman Filter Based Congestion Controller

Kalman Filter Based Congestion Controller

Facing burst traffic, TCP congestion control algorithms severely decrease window size neglecting the fact that such burst traffics are temporal. In the increase phase sending window experiences a linear rise which may lead to waste in hefty proportion of available bandwidth. If congestion control mechanisms be able to estimate future state of network traffic they can cope with different circums...

Extended Kalman Filter Based Fuzzy Adaptive Filter

Online tuning fuzzy PID controller using robust extended Kalman filter

Fuzzy PID controllers have been developed and applied to many fields for over a period of 30 years. However, there is no systematic method to design membership functions (MFs) for inputs and outputs of a fuzzy system. Then optimizing the MFs is considered as a system identification problem for a nonlinear dynamic system which makes control challenges. This paper presents a novel online method u...

GPU-Based Parallel Kalman Filter

The Kalman Filter and its variants have been highly successful in numerous applications in technology. However, the Kalman filter is under heavy computational burden. When suffers from big data, it becomes pretty slow. On the other hand, the GPU, a processor unit with highly parallel structure, becomes more and more popular in generous purpose computing. This paper focuses on how to make Kalman...

Robust Congestion Control based on Loop-Shaping Method with Kalman Filter for TCP/AQM System

This paper presents the LQ-Servo control with observer for TCP/AQM system considering an input time-delay. This controller structure is made by taking a traditional servo mechanism based on Linear Quadratic approach and by augmenting a new state variable to the feed forward loop. In order to estimate the state of TCP window packet size, the control structure is extended with observer based on K...