基于滑模观测器的网络拥塞控制仿真研究

发布时间：2018-04-27 11:12

  本文选题：拥塞控制 + 状态观测器　； 参考：《计算机仿真》2017年09期

【摘要】：拥塞控制是使网络正常高效运行的关键技术之一。由于实际网络中的一些系统状态无法直接获取,因此现有的网络拥塞控制方法常采用状态观测器来获取系统状态,从而实现状态反馈控制。但当系统存在不确定性和非线性干扰时,传统的线性观测器不能满足要求。为此在系统中引入滑模观测器,对系统不确定性和非线性干扰均具有很好的鲁棒性。并提出基于滑模观测器的状态反馈网络拥塞控制方法,进行计算机仿真研究。仿真结果表明,所提出的基于滑模观测器的网络拥塞控制方法具有很好的控制性能。
[Abstract]:Congestion control is one of the key technologies to make the network run normally and efficiently. Because some system states can not be obtained directly in the actual network, the existing network congestion control methods often use the state observer to obtain the system state, thus realize the state feedback control. But when there is uncertainty and nonlinear disturbance, the traditional linear observer can not meet the requirements. Therefore, the sliding mode observer is introduced into the system, which is robust to the uncertainty and nonlinear disturbance of the system. A state feedback congestion control method based on sliding mode observer is proposed and studied by computer simulation. Simulation results show that the proposed network congestion control method based on sliding mode observer has good control performance.
【作者单位】： 北方工业大学现场总线及自动化北京市重点实验室;
【基金】：国家自然科学基金(61573024) 北京市自然科学基金(4154068)
【分类号】：TP393.06
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本文编号：1810501