New Delay-Dependent Robust Exponential Stability Criteria of LPD Neutral Systems with Mixed Time-Varying Delays and Nonlinear Perturbations
Author(s) -
Sirada Pinjai,
Kanit Mukdasai
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/268905
Subject(s) - mathematics , nonlinear system , exponential stability , linear matrix inequality , weighting , stability (learning theory) , exponential function , matrix (chemical analysis) , cauchy distribution , control theory (sociology) , mathematical analysis , mathematical optimization , computer science , medicine , physics , materials science , control (management) , quantum mechanics , machine learning , artificial intelligence , composite material , radiology
This paper is concerned with the problem of robust exponential stability for linear parameter-dependent (LPD) neutral systems with mixed time-varying delays and nonlinear perturbations. Based on a new parameter-dependent Lyapunov-Krasovskii functional, Leibniz-Newton formula, decomposition technique of coefficient matrix, free-weighting matrices, Cauchy’s inequality, modified version of Jensen’s inequality, model transformation, and linear matrix inequality technique, new delay-dependent robust exponential stability criteria are established in terms of linear matrix inequalities (LMIs). Numerical examples are given to show the effectiveness and less conservativeness of the proposed methods
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