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1)  Gapped-data interpolation
丢失数据插值
2)  data loss
数据丢失
1.
In a heterogeneous network composed of WLAN and cellular network,handoff strategy is a key factor in reducing the handoff delay and data loss.
在无线局域网WLAN和蜂窝网组成的异构网络中,切换方案是降低切换时延和数据丢失的一个重要因素。
2.
The problem of the data loss caused by the normal method during the radar base data reading is aimed at and an improved method is presented.
雷达基数据的读取是做雷达应用软件的基础,针对目前常规方法对雷达基数据的读取遇到的数据丢失的问题,提出一种改进方法。
3.
To solve the major barriers, such as time delay and data loss, in the transmission of Internet, two compensators are designed in feedback channel and forward channel, which can compensate the influence to control system caused by time delay and data loss.
为了解决在因特网传输过程中,时间延迟和数据丢失的主要障碍·在远程控制系统的前向通道和反馈通道各设计一个补偿器,用以补偿时间延迟和数据丢失对控制系统的影响·仿真结果表明了该设计补偿器方法的正确性和有效性
3)  missing data
数据丢失
1.
The missed measurements happen at any sample time,and the probability of the occurrence of missing data is assumed to be known.
假定数据丢失的概率已知,采用满足Bernoulli分布的序列来描述测量数据的丢失,研究具有测量数据部分丢失的线性离散系统的迭代学习控制器的设计。
2.
The dissipative fuzzy filter is studied for a class of nonlinear systems with missing data.
研究一类存在随机测量数据丢失现象的网络化非线性系统的模糊滤波器设计问题,采用T-S模糊模型描述非线性系统,并用已知概率分布的二进制切换序列来描述随机的数据丢失。
3.
A state observer-based quantized H∞ output feedback problem is proposed for linear discrete time systems with missing data.
基于状态观测器研究具有数据丢失的线性离散系统的H∞输出反馈控制问题,采用满足Bernoulli分布的序列来描述网络传输数据的丢失,预先假设数据丢失的概率,然后采用线性矩阵不等式(LMI)方法设计状态观测器和输出反馈控制器使得系统均方指数稳定并具有给定的H∞性能,最后用数值仿真验证设计方法的有效性。
4)  data dropout
数据丢失
1.
Observer-based Stabilization of Networked Control Systems with Data Dropout;
具有数据丢失的网络化控制系统的基于观测器的镇定
2.
This paper deals with the model and control of networked control systems with the presence of transmitted data dropout.
研究了具有数据丢失的网络控制系统的建模与控制问题。
3.
This paper deals with the controller design of a networked control system with the presence of network-induced delay and transmitted data dropout.
研究了存在时延和数据丢失的网络控制系统的控制器设计问题。
5)  missing data
丢失数据
1.
Learning Bayesian network structure with missing data;
具有丢失数据的贝叶斯网络结构学习算法
2.
Filling method of missing data for traffic flow based on rough set theory;
基于粗集理论的交通流丢失数据补齐方法
3.
The model for filling time series data of traffic flow based on LS-SVM is proposed in this paper,missing data can be filled by using traffic flow historical data.
利用实例仿真验证表明,LS-SVM具有较好的泛化能力和很强的鲁棒性,采用基于LS-SVM的交通流时间序列模型补齐丢失数据能够取得很好的效果。
6)  lose data
丢失数据
1.
Design and implement of resuming system of lose data;
丢失数据恢复系统的设计与实现
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