Active Queue Management Based on Single Neural Adaptive PID Algorithm

This paper proposes an algorithm for improving adaptation and parameters adjustment of active queue management by using single neural adaptive PID algorithm. In this algorithm, single neural is combined with PID algorithm, which can settle the parameters adjustment in PID and can adapt the variation of network parameters by changing the weights of the single neural online, so this algorithm can effectively fulfill active queue management. The simulation results successfully demonstrate the effectiveness of the proposed algorithm and their advantages over other existing algorithm.