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New results of stability analysis for systems with time‐varying delay
Author(s) -
Zhu XunLin,
Yang GuangHong
Publication year - 2009
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.1456
Subject(s) - stability (learning theory) , control theory (sociology) , upper and lower bounds , mathematics , conservatism , linear matrix inequality , matrix (chemical analysis) , decomposition , computer science , mathematical optimization , control (management) , mathematical analysis , composite material , biology , machine learning , politics , ecology , materials science , artificial intelligence , political science , law
This paper studies the problem of stability analysis for continuous‐time systems with time‐varying delay. By developing a delay decomposition approach, the information of the delayed plant states can be taken into full consideration, and new delay‐dependent sufficient stability criteria are obtained in terms of linear matrix inequalities. The merits of the proposed results lie in their less conservatism, which are realized by choosing different Lyapunov matrices in the decomposed integral intervals and estimating the upper bound of some cross term more exactly. Numerical examples are given to illustrate the effectiveness and less conservatism of the proposed method. Copyright © 2009 John Wiley & Sons, Ltd.