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A New Model of Networked Control Systems in Robust Control Framework
Author(s) -
Wen Kai,
Geng Zhiyong,
Zhang Zhenyong,
Zhang Lijia
Publication year - 2016
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1046
Subject(s) - beijing , control theory (sociology) , constraint (computer aided design) , quadratic equation , block (permutation group theory) , computer science , quantization (signal processing) , control system , stability (learning theory) , stability theorem , control (management) , control engineering , mathematical optimization , mathematics , engineering , china , algorithm , artificial intelligence , statistics , geometry , electrical engineering , machine learning , political science , law , cauchy distribution
In this paper, a new model is proposed to describe networked control systems (NCS) with delays and quantization errors. Firstly, the non‐idealizations are unified in the classic robust control framework and the entire system is modeled as a discrete system closed via a block uncertainty. Then, the stability criteria are derived using small gain theorem, μ tool and integral quadratic constraint (IQC) method, respectively. Finally, a simulation and a numerical example are provided to demonstrate the effectiveness of the proposed methods. This work is supported by the Science Foundation of China University of Petroleum, Beijing (No.YJRC‐2013‐11) and National Natural Science Foundation (NNSF) of China under Grant 61374033.