journal6 ›› 2008, Vol. 29 ›› Issue (3): 88-90.

• Physics and electronics • Previous Articles     Next Articles

Survey on Neural Network-Based Adaptive PID Controller in AQM


  1. (1.Department of Physics & Information Technology,Hunan College of Science and Technology,Changsha 414006,China; 2.College of Mathematics & Computer Science, Guangxi Normal University, Guilin Guangxi 541004,China)
  • Online:2008-05-25 Published:2012-05-23

Abstract: The author integrate the neural network into the PID controller rationally,and gain an adaptive PID controller where a BP network is utilized to achieve PID parameters self-adjustment;a RBF neural network is utilized to identify the controlled plant on line for congestion control of AQM.Simulation results indicate that the effectiveness of this controller is superior to the traditional PID controller obviously.

Key words: congestion control, PID control, neural network, identification

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