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To solve the non-linear system control problem, a new self-adaptive fuzzy controller with two stages variable universe is proposed. In place of the conventional function models to obtain the contraction-expansion factors, the novel fuzzy control algorithm adjusts its universe by another fuzzy controller according to the values of the input-output variable and a fuzzy control rules list. The simulation...
Researches have shown that self similar traffic has essential effects on the network parameters such as loss rate, length of the queue in the routers and throughput. Since classical congestion control algorithms work in short time scales and do not consider self similarity and long time dependency phenomenon of data, development of congestion control algorithms which be able to distinguish and manage...
The dynamics of pH process is highly nonlinear, time-varying with change in gain of several orders. It is very difficult to investigate the dynamic behavior of such systems using conventional modeling techniques. An effective approach is to partition the available data into subsets and approximate each subset by a simple piecewise linear model. Fuzzy clustering can be used as tool to partition the...
In this paper, a simulation model was built to study the CO2-based outdoor air rate control system in public buildings by PID control and fuzzy-PI control method. It is shown that classical PID algorithm can eliminates steady-state error, but the overtune is big and transitional time is long. The PID algorithm only suits for the case of CO2 concentration changed small. When the CO2 concentration has...
A novel active queue management (AQM) scheme based on fuzzy sliding mode controller is designed to tackle network congestion problem with modelling uncertainties, time varying parameter fluctuations and external disturbances. Stability analysis is given to this system. Simulation results demonstrate that it can lead to the convergence of the queue length to the desired value quickly and maintain the...
Previous research into blood glucose control using an Expert PID controller has yielded positive results. Blood glucose is attenuated and maintained within the desired range despite high starting levels and meal disturbances. The following simulation study aims to improve the performance of the above controller by incorporating fuzzy controllers into the algorithm. Certain aspects of previous simulations...
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