Networked control system with asynchronous samplings and quantizations in both transmission and receiving channels

Tae H. Lee; Jianwei Xia; Ju H. Park

doi:10.1016/j.neucom.2016.07.006

Networked control system with asynchronous samplings and quantizations in both transmission and receiving channels

Tae H. Lee
, Jianwei Xia
, Ju H. Park^*

^*Corresponding author for this work

Division of Electronic Engineering

Yeungnam University
Liaocheng University

Research output: Contribution to journal › Journal article › peer-review

29 Scopus citations

Abstract

This study addresses a problem of the controlling networked control systems (NCSs) which is consisted of the continuous-time plant and controller. In both transmission and receiving channels, asynchronous sampling and different logarithmic quantization effects are considered. By categorizing three cases of asynchronous sampling and using two properties of quantizer which are sector bounded and convex combination, sufficient conditions of the existence of desired controllers for each asynchronous case are presented in the form of linear matrix inequalities (LMIs). Simulation results are given to illustrate the validity of the proposed methods.

Original language	English
Pages (from-to)	25-38
Number of pages	14
Journal	Neurocomputing
Volume	237
DOIs	https://doi.org/10.1016/j.neucom.2016.07.006
State	Published - 2017.05.10

Keywords

Asynchronous sampling
Networked control system
Quantization
Sampled-data

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10.1016/j.neucom.2016.07.006

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title = "Networked control system with asynchronous samplings and quantizations in both transmission and receiving channels",

abstract = "This study addresses a problem of the controlling networked control systems (NCSs) which is consisted of the continuous-time plant and controller. In both transmission and receiving channels, asynchronous sampling and different logarithmic quantization effects are considered. By categorizing three cases of asynchronous sampling and using two properties of quantizer which are sector bounded and convex combination, sufficient conditions of the existence of desired controllers for each asynchronous case are presented in the form of linear matrix inequalities (LMIs). Simulation results are given to illustrate the validity of the proposed methods.",

keywords = "Asynchronous sampling, Networked control system, Quantization, Sampled-data",

author = "Lee, \{Tae H.\} and Jianwei Xia and Park, \{Ju H.\}",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier B.V.",

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T1 - Networked control system with asynchronous samplings and quantizations in both transmission and receiving channels

AU - Lee, Tae H.

AU - Xia, Jianwei

AU - Park, Ju H.

PY - 2017/5/10

Y1 - 2017/5/10

N2 - This study addresses a problem of the controlling networked control systems (NCSs) which is consisted of the continuous-time plant and controller. In both transmission and receiving channels, asynchronous sampling and different logarithmic quantization effects are considered. By categorizing three cases of asynchronous sampling and using two properties of quantizer which are sector bounded and convex combination, sufficient conditions of the existence of desired controllers for each asynchronous case are presented in the form of linear matrix inequalities (LMIs). Simulation results are given to illustrate the validity of the proposed methods.

AB - This study addresses a problem of the controlling networked control systems (NCSs) which is consisted of the continuous-time plant and controller. In both transmission and receiving channels, asynchronous sampling and different logarithmic quantization effects are considered. By categorizing three cases of asynchronous sampling and using two properties of quantizer which are sector bounded and convex combination, sufficient conditions of the existence of desired controllers for each asynchronous case are presented in the form of linear matrix inequalities (LMIs). Simulation results are given to illustrate the validity of the proposed methods.

KW - Asynchronous sampling

KW - Networked control system

KW - Quantization

KW - Sampled-data

UR - https://www.scopus.com/pages/publications/84979943848

U2 - 10.1016/j.neucom.2016.07.006

DO - 10.1016/j.neucom.2016.07.006

M3 - Journal article

AN - SCOPUS:84979943848

SN - 0925-2312

VL - 237

SP - 25

EP - 38

JO - Neurocomputing

JF - Neurocomputing

ER -

Networked control system with asynchronous samplings and quantizations in both transmission and receiving channels

Abstract

Keywords

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