针对网络控制系统中采样周期时变不确定性对控制性能和网络运行性能的影响,提出一种基于反馈控制原理和预测机理的智能动态调度策略。该策略利用网络资源利用率、截止期错过率以及误差绝对值积分(Integral of the Absolute Error,IAE)...针对网络控制系统中采样周期时变不确定性对控制性能和网络运行性能的影响,提出一种基于反馈控制原理和预测机理的智能动态调度策略。该策略利用网络资源利用率、截止期错过率以及误差绝对值积分(Integral of the Absolute Error,IAE)对消息进行反馈控制调度,保证网络利用率、截止期错过率以及控制性能保持在期望的范围内;利用BP神经网络对网络利用率和数据包执行时间进行预测,实时调整控制系统的采样周期,以适应网络中信息流的变化。仿真试验结果表明该调度算法既能满足控制系统的性能,又提高网络资源的利用率。展开更多
This paper presents the sampling and feedback control techniques, which are the kernel of our experiment on adaptive Polarization Mode Dispersion (PMD) compensation for optical fiber communication systems. Some key po...This paper presents the sampling and feedback control techniques, which are the kernel of our experiment on adaptive Polarization Mode Dispersion (PMD) compensation for optical fiber communication systems. Some key points on sampling and feedback techniques are discussed and practical resolutions for them are put forward.展开更多
文摘针对网络控制系统中采样周期时变不确定性对控制性能和网络运行性能的影响,提出一种基于反馈控制原理和预测机理的智能动态调度策略。该策略利用网络资源利用率、截止期错过率以及误差绝对值积分(Integral of the Absolute Error,IAE)对消息进行反馈控制调度,保证网络利用率、截止期错过率以及控制性能保持在期望的范围内;利用BP神经网络对网络利用率和数据包执行时间进行预测,实时调整控制系统的采样周期,以适应网络中信息流的变化。仿真试验结果表明该调度算法既能满足控制系统的性能,又提高网络资源的利用率。
文摘This paper presents the sampling and feedback control techniques, which are the kernel of our experiment on adaptive Polarization Mode Dispersion (PMD) compensation for optical fiber communication systems. Some key points on sampling and feedback techniques are discussed and practical resolutions for them are put forward.
