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Stability analysis for neutral stochastic linear system
被引:7
|作者:
Li, Boren
[1
]
Liu, Xueliang
[1
]
机构:
[1] Dongguan Univ Technol, Coll Comp, Dongguan 523808, Guangdong, Peoples R China
基金:
中国国家自然科学基金;
关键词:
uncertain systems;
linear systems;
stochastic systems;
Lyapunov methods;
stability criteria;
linear matrix inequalities;
uncertain linear neutral stochastic system;
Lyapunov-Krasovskii functional;
Schur complement;
linear matrix inequality technique;
robust stability;
H-INFINITY CONTROL;
NEURAL-NETWORKS;
CRITERIA;
D O I:
10.1049/iet-cta.2014.1377
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This study is a further note on stability analysis for uncertain linear neutral stochastic system. Firstly, the stability of linear neutral stochastic system with mix delays is studied. By employing a new Lyapunov-Krasovskii functional and novel method to estimate the integral terms, the less conservative stability criteria are obtained. Compared with previous results, the novel method can sufficiently utilise more negative items information. Then, in virtue of the Schur complement and linear matrix inequality technique, the robust stability of the uncertain neutral stochastic system is derived, which have less conservatism. Finally, two numerical examples show that the authors' results are effective and less conservative than other reports in the previous literature.
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页码:2474 / 2481
页数:8
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