基于降维状态观测器的最优拥塞控制研究

摘要

在Internet拥塞控制系统建模的基础上，将降维状态观测引入到拥塞控制中，进而提出了一种基于主动队列管理（ AQM ）的新的最优拥塞控制方法。该方法利用降维状态观测器来获取无法直接获取的系统状态，从而实现状态反馈，克服传统的基于AQM的网络拥塞控制方法无法直接得到状态反馈控制律的缺陷，并能通过求解线性矩阵黎卡提方程，得到使性能指标达到最优的状态反馈控制律，实现Internet的最优拥塞控制。仿真结果表明，这种新的最优拥塞控制方法具有很好的跟踪性能。%Based on the modeling of Internet congestion control systems, the concept of reduced-order state-observation was introduced into the congestion control, and then a new optimal congestion control method based on active queue management ( AQM) was presented.The new method uses a reduced-order state-observer to obtain the system state which cannot be obtained directly, so as to realize the state-feedback to overcome the drawback of traditional AQM based congestion control methods that they cannot directly obtain the state-feedback control law.And it can obtain the sate-feedback control law capable of optimizing the performance index by solving the Riccati equations, and achieve the optimal congestion control for Internet.The simulation results verified the proposed method’ s good tracking performance.