Simplified Stability Criteria for Delayed Neutral Systems
Author(s) -
Xinghua Zhang,
Xiangyu Gao,
Min Su
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/238487
Subject(s) - mathematics , stability (learning theory) , linear matrix inequality , class (philosophy) , constant (computer programming) , lti system theory , invariant (physics) , linear system , exponential stability , matrix (chemical analysis) , control theory (sociology) , mathematical optimization , computer science , mathematical analysis , control (management) , nonlinear system , physics , materials science , composite material , quantum mechanics , artificial intelligence , machine learning , mathematical physics , programming language
For a class of linear time-invariant neutral systems with neutral and discrete constant delays, several existing asymptotic stability criteria in the form of linear matrix inequalities (LMIs) are simplified by using matrix analysis techniques. Compared with the original stability criteria, the simplified ones include fewer LMI variables, which can obviously reduce computational complexity. Simultaneously, it is theoretically shown that the simplified stability criteria and original ones are equivalent; that is, they have the same conservativeness. Finally, a numerical example is employed to verify the theoretic results investigated in this paper
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom