Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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An Intelligent PID Controller based on Dynamic Bayesian Networks for Traffic Control of TCP

TCP의 트래픽 제어를 위한 동적 베이시안 네트워크 기반 지능형 PID 제어기

  • 조현철 (동아대학교 전기공학과) ;
  • 이영진 (한국폴리텍 항공대학 항공전기과) ;
  • 이진우 (동아대학교 전기공학과) ;
  • 이권순 (동아대학교 전기공학과)
  • Published : 2007.04.01
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Abstract

This paper presents an intelligent PID control for stochastic systems with nonstationary nature. We optimally determine parameters of a PID controller through learning algorithm and propose an online PID control to compensate system errors possibly occurred in realtime implementations. A dynamic Bayesian network (DBN) model for system errors is additionally explored for making decision about whether an online control is carried out or not in practice. We apply our control approach to traffic control of Transmission Control Protocol (TCP) networks and demonstrate its superior performance comparing to a fixed PID from computer simulations.

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References

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