计算机网络的自适应拥塞控制
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摘要
在现有的计算机网络的拥塞控制方法中,基本都没有考虑到非线性干扰、时变时滞和参数不确定性对系统所产生的影响,但是这些因素会影响系统的稳定性能,甚至导致系统的不稳定。为解决这类问题,本文提出一种自适应拥塞控制方法。首先,建立了新的数学模型,该模型包含了非线性干扰、时变时滞和参数不确定性等参数。在这个基础之上,应用自适应控制方法设计了状态反馈控制器。仿真结果表明,该控制器能够实现预想的功能,并且具有较好的控制性能。
Existing congestion control methods did not consider the effects of nonlinear disturbance, time-varying delay and parameter uncertainty, which will influence the stability, even lead to instability of the system. This paper presents an adaptive congestion control method for computer networks. A new mathematical model of congestion network system is established, which includes nonlinear disturbance, time-varying delay and parameter uncertainty. To compensate for the effects of these factors, a state feedback congestion controller is designed based on adaptive control approach. Simulate results show that the proposed controller has good control performance.
Existing congestion control methods did not consider the effects of nonlinear disturbance, time-varying delay and parameter uncertainty, which will influence the stability, even lead to instability of the system. This paper presents an adaptive congestion control method for computer networks. A new mathematical model of congestion network system is established, which includes nonlinear disturbance, time-varying delay and parameter uncertainty. To compensate for the effects of these factors, a state feedback congestion controller is designed based on adaptive control approach. Simulate results show that the proposed controller has good control performance.
引文
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[10]BARZAMINI R,SHAFIEE M,DADLANI A.Adaptive generalized minimum variance congestion controller for dynamic TCP/AQM networks[J].Computer Communications,2012,35(2):170-178.
[11]QUET P F,?ZBAY H.On the design of AQM supporting TCPflows using robust control theory[J].IEEE Transactions on Automatic Control,2004(49):1031-1036.
[12]CHEN Q,YANG O W W.Robust controller design for AQMrouter[J].IEEE Transactions on Automatic Control,2007(52):938-943.
[13]ZHENG F,NELSON J.An H∞approach to the controller design of AQM routers supporting TCP flows[J].Automatica,2009(45):757-763.
[14]HAN C W,SUN D H,LIU L,et al.Discrete-time robust H∞congestion control with nonlinear disturbance[C]//Proceedings of the26th Chinese Control Conference,Nanjing,China,2014.5476-5480.
[15]MARAMI B,HAERI M.Implementation of MPC as an AQMcontroller[J].Computer Communications,2010,33(2):227-239.
[16]WANG P,CHEN H,YANG X,et al.Design and analysis of a model predictive controller for active queue management[J].ISA Transactions,2012,50:120-131.
[17]HAN C W,SUN D H,LIU L,et al.A new robust model predictive congestion control[C]//Proceedings of the 11th World Congress on Intelligent Control and Automation,Shenyang,China,2014:4189-4193.
[18]HAN C W,LI M Q,JING Y W,et al.Nonlinear model predictive congestion control for networks[C]//Proceedings of the 20th IFAC World Congress,Toulouse,France,2017:554-559.
[19]XIAO K,MAO S,TUGNAIT J K.MAQ:A Multiple Model Predictive Congestion Control Scheme for Cognitive Radio Networks[J].IEEE Transactions on Wireless Communications,2017,16(4):2614-2626.
[20]DAIGAVHANE M U,Manish D.CHAWHAN M D.Congestion control algorithm for TCP in wireless network[C]//Proceedings of 4th International Conference on Recent Advances in Information Technology,2018:1-5.
[21]ZHOU C,HE J W,CHEN Q W.An observer-based robust active queue management scheme[C]//Proceedings of Chinese Control Conference,Hefei,China,2012:5536-5541.
[22]韩存武,刁奇,常舒瑞,等.带降维状态观测器的最优拥塞控制研究.高技术通讯,2015,25(12):1047-1052.HAN Cun-wu,DIAO Qi,CHANG Shu-rui,et al.Study of optimal congestion control based on reduced-order state-observer[J].Chinese High Technology Letters,2015,25(12):1047-1052.
[23]ASTROM K J,WITTENMARK B.Computer Controlled Systems:Theory and Design[J].Iee Review,2012,31(31):237-248.
[24]陈丽娟,唐勇奇.时变时滞复杂网络的控制研究[J].新型工业化,2017,7(10):82-88.CHEN Li-juan,TANG Yong-qi.Control of Time-varying Time-delay Complex Networks[J].The Journal of New Industrialization,2017,7(10):82-88.
[25]陈旋,陈金香.标准离散时间切换奇异摄动系统的H∞控制[J].新型工业化,2016,6(9):35-41.CHEN Xuan,CHEN Jin-xiang.College of Electric Power,Inner Mongolia University of Technology[J].The Journal of New Industrialization,2016,6(9):35-41.
[2]SOELISTIJANTO B,HOWARTH M P.Transfer reliability and congestion control strategies in opportunistic networks:Asurvey[J].IEEE Communication Surveys&Tutorials,2014,16(1):538-555.
[3]XU C,ZHAO J,MUNTEAN G M.Congestion control design for multipath transport protocols:A survey[J].IEEE Communication Surveys&Tutorials[J],2016,18(4):2948-2969.
[4]YADAV A,KUMAR S.A review of congestion control mechanisms for wireless networks[C]//Proceedings of the 2nd International Conference on Communication and Electronics Systems,2017:109-115.
[5]FLOYD S,JACOBSON V.Random early detection gateways for congestion avoidance[J].IEEE/ACM Transactions on Networking,1993(1):397-413.
[6]HOLLOT C V,MISRA V,TOWSLEY D,et al.Analysis and design of controllers for AQM routers supporting TCP flows[J].IEEE Transactions on Automatic Control,2002,47(6):945-960.
[7]SUN J,CHEN G,KO K,et al.PD-controller:a new active queue management scheme[C]//Proceedings of IEEEGloblecom,2003,22(1):3103-3107.
[8]FAN Y F,REN F Y,LIN C.Design a PID controller for active queue management[C]//Proceedings of ISCC,2003:985-990.
[9]ZHANG H,TOWSLEY D,HOLLOT C V,et al.A self-tuning structure for adaptation in TCP/AQM networks[J].Performance Evaluation Review,2003,32:302-307.
[10]BARZAMINI R,SHAFIEE M,DADLANI A.Adaptive generalized minimum variance congestion controller for dynamic TCP/AQM networks[J].Computer Communications,2012,35(2):170-178.
[11]QUET P F,?ZBAY H.On the design of AQM supporting TCPflows using robust control theory[J].IEEE Transactions on Automatic Control,2004(49):1031-1036.
[12]CHEN Q,YANG O W W.Robust controller design for AQMrouter[J].IEEE Transactions on Automatic Control,2007(52):938-943.
[13]ZHENG F,NELSON J.An H∞approach to the controller design of AQM routers supporting TCP flows[J].Automatica,2009(45):757-763.
[14]HAN C W,SUN D H,LIU L,et al.Discrete-time robust H∞congestion control with nonlinear disturbance[C]//Proceedings of the26th Chinese Control Conference,Nanjing,China,2014.5476-5480.
[15]MARAMI B,HAERI M.Implementation of MPC as an AQMcontroller[J].Computer Communications,2010,33(2):227-239.
[16]WANG P,CHEN H,YANG X,et al.Design and analysis of a model predictive controller for active queue management[J].ISA Transactions,2012,50:120-131.
[17]HAN C W,SUN D H,LIU L,et al.A new robust model predictive congestion control[C]//Proceedings of the 11th World Congress on Intelligent Control and Automation,Shenyang,China,2014:4189-4193.
[18]HAN C W,LI M Q,JING Y W,et al.Nonlinear model predictive congestion control for networks[C]//Proceedings of the 20th IFAC World Congress,Toulouse,France,2017:554-559.
[19]XIAO K,MAO S,TUGNAIT J K.MAQ:A Multiple Model Predictive Congestion Control Scheme for Cognitive Radio Networks[J].IEEE Transactions on Wireless Communications,2017,16(4):2614-2626.
[20]DAIGAVHANE M U,Manish D.CHAWHAN M D.Congestion control algorithm for TCP in wireless network[C]//Proceedings of 4th International Conference on Recent Advances in Information Technology,2018:1-5.
[21]ZHOU C,HE J W,CHEN Q W.An observer-based robust active queue management scheme[C]//Proceedings of Chinese Control Conference,Hefei,China,2012:5536-5541.
[22]韩存武,刁奇,常舒瑞,等.带降维状态观测器的最优拥塞控制研究.高技术通讯,2015,25(12):1047-1052.HAN Cun-wu,DIAO Qi,CHANG Shu-rui,et al.Study of optimal congestion control based on reduced-order state-observer[J].Chinese High Technology Letters,2015,25(12):1047-1052.
[23]ASTROM K J,WITTENMARK B.Computer Controlled Systems:Theory and Design[J].Iee Review,2012,31(31):237-248.
[24]陈丽娟,唐勇奇.时变时滞复杂网络的控制研究[J].新型工业化,2017,7(10):82-88.CHEN Li-juan,TANG Yong-qi.Control of Time-varying Time-delay Complex Networks[J].The Journal of New Industrialization,2017,7(10):82-88.
[25]陈旋,陈金香.标准离散时间切换奇异摄动系统的H∞控制[J].新型工业化,2016,6(9):35-41.CHEN Xuan,CHEN Jin-xiang.College of Electric Power,Inner Mongolia University of Technology[J].The Journal of New Industrialization,2016,6(9):35-41.