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Sufficient conditions for stability and stabilization of networked control systems with uncertainties and nonlinearities
Author(s) -
Gyurkovics Eva,
Eszes David
Publication year - 2014
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3245
Subject(s) - control theory (sociology) , benchmark (surveying) , stability (learning theory) , simple (philosophy) , nonlinear system , bounded function , control (management) , computer science , mathematics , artificial intelligence , mathematical analysis , philosophy , physics , geodesy , epistemology , quantum mechanics , machine learning , geography
Summary In this paper, we consider the problem of robust stability and stabilization for networked control systems (NCS) with uncertain/nonlinear dynamics AUTHOR: Please check that authors and their affiliations are correct. in which the network‐induced delays are time‐varying and bounded. Based on some recent achievements, a relatively simple Lyapunov–Krasovskii functional is proposed to derive sufficient conditions both for analysis and synthesis of NCS in the form of LMIs depending on the delay bounds. The effectiveness of the proposed method is illustrated by several benchmark examples available in the literature. Copyright © 2014 John Wiley & Sons, Ltd.