期刊
APPLIED MATHEMATICS AND COMPUTATION
卷 221, 期 -, 页码 132-143出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2013.05.071
关键词
Stochastic neutral systems; Generalized Finsler lemma; Delay-dependent; Mean-square exponentially stable; Linear matrix inequality; Orthogonal complement
资金
- National Natural Science Foundation of China [61273126, 11201495]
- Natural Science Foundation of Guangdong Province [10251064101000008]
- Fundamental Research Funds for the Central Universities [13lgpy31]
- Principal Fund of South China Agricultural University [2009X008]
This paper is concerned with the mean-square exponential stability analysis for uncertain neutral linear stochastic time-varying delay systems. By Lyapunov-Krasovskii theory and linear matrix inequality method, under the generalized Finsler lemma (GFL) framework, delay-dependent mean-square exponential stability criteria are established without involving model transformation, cross-terms bounding technique or additional free-weighting matrix. Moreover, GFL is also employed to obtain stability criteria for a class of uncertain linear stochastic neutral systems with different discrete and neutral delays. Numerical examples are presented to verify that the proposed approach is both less conservative and less computationally complex than the existing results. (C) 2013 Elsevier Inc. All rights reserved.
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