期刊
COGNITIVE NEURODYNAMICS
卷 2, 期 4, 页码 363-370出版社
SPRINGER
DOI: 10.1007/s11571-008-9058-9
关键词
Stability; Neural networks; Interval time-varying delays; Parameter uncertainties; Linear matrix inequality
资金
- National Nature Science and Foundation of China [60574024, 60703035]
- Scientific Research Fund of Chongqing Municipal Education Commission Grant [kj081501]
This paper is concerned with the stability analysis for neural networks with interval time-varying delays and parameter uncertainties. An approach combining the Lyapunov-Krasovskii functional with the differential inequality and linear matrix inequality techniques is taken to investigate this problem. By constructing a new Lyapunov-Krasovskii functional and introducing some free weighting matrices, some less conservative delay-derivative-dependent and delay-derivative-independent stability criteria are established in term of linear matrix inequality. And the new criteria are applicable to both fast and slow time-varying delays. Three numerical examples show that the proposed criterion are effective and is an improvement over some existing results in the literature.
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