网络控制系统线性滤波器的两种丢包补偿机制

International Journal of Future Generation Communication and Networking Pub Date : 2016-11-30 DOI:10.14257/ijfgcn.2016.9.11.04

Hao Jin, Jing Ma

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引用次数: 0

摘要

研究了具有多个丢包的网络控制系统的最优线性滤波问题。当电流测量丢失时，分别使用两种常用的补偿机制(保持输入和零输入机制)进行补偿。保持输入策略意味着直接应用接收到的最新测量值，而零输入策略则采用零值。在这两种常用补偿器的基础上，采用创新分析方法给出了线性最小方差意义下的最优线性滤波器，并通过两个仿真实例对其性能进行了比较。结论是，这两种补偿机制都不能声称孰优孰劣。

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Two Mechanisms of Packet Dropout Compensation for Linear Filter of Networked Control Systems

This paper studies the optimal linear filtering problem for networked control systems (NCSs) with multiple packet dropouts. When the current measurement is lost, the two popular compensation mechanisms (the hold-input and zero-input mechanism) are used for compensation, respectively. The hold-input strategy means that the latest measurements received is applied directly whereas the zero-input one adopts zero value. Based on the two popular compensators, the optimal linear filters in the linear minimum variance sense are given by innovation analysis approach, and their performances are compared in terms of two simulation examples. The conclusion is that neither of the two compensation mechanisms can be claimed to be superior to the other.

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International Journal of Future Generation Communication and Networking TELECOMMUNICATIONS-

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发文量

期刊介绍： The topics covered by IJFGCN include the following:- -Communication Basic and Infrastructure: *Algorithms, Architecture, and Infrastructures *Communication protocols *Communication Systems *Telecommunications *Transmission TechniquesEtc. -Networks Basic and Management: *Network Management Techniques *Network Modeling and Simulation *Network Systems and Devices *Networks Security, Encryption and Cryptography *Wireless Networks, Ad-Hoc and Sensor Networks *Etc. -Multimedia Application: *Digital Rights Management *Documents Monetization and Interpretation *Management and Diffusion of Multimedia Applications *Multimedia Data Base *Etc. -Image, Video, Signal and Information Processing: *Analysis and Processing *Compression and Coding *Information Fusion *Rationing Methods and Data mining *Etc.