Congestion control algorithm based on PID neural network and internal model control
基于PID神经元网络和内模控制的拥塞控制算法*

This paper designed a new congestion control algorithm for large delay and nonlinear network systems.Applied proportional integral differential(PID) neural network controller and internal model control(IMC) in active queue management(AQM).Proved stability by Lyapunov theory.The simulation results show that this algorithm's stability and transient performance are superior to PID algorithm.Moreover it possesses high robustness even when system parameter changes or network load fluctuates.