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Peformance evaluation of fuzzy controller for traffic stabilization

This paper proposes a useful algorithm approach to hybrid control systems combining fuzzy logic and predictable control techniques for network infrastructure. The given model employs two rules to Fuzzy logic rate prevention based on queue length and buffer frequency. The learning rule for this network must then be modified accordingly. The implementation of the fuzzy model was carried out in simulation phase. The simulation was tested with several scenarios. Obtained results proved favourable comparing to ideal models.