期刊
NEUROCOMPUTING
卷 74, 期 5, 页码 730-734出版社
ELSEVIER
DOI: 10.1016/j.neucom.2010.09.020
关键词
Neural networks; Time-varying delay; Delay-dependent passivity condition; Lyapunov-Krasovskii functional
资金
- National Science Foundation for Distinguished Youth Scholars of China [60425310]
- National Natural Science Foundation of China [60974026]
- National Science Fund for Distinguished Youth Scholars of Hunan Province [08JJ1010]
- Research Fund for the Doctoral Program of Higher Education of China [200805330004]
This paper deals with the problem of passivity analysis for neural networks with both time-varying delay and norm-bounded parameter uncertainties by employing an improved free-weighting matrix approach. Some useful terms have been retained, which were used to be ignored in the derivative of Lyapunov-Krasovskii functional. Furthermore, the relationship among the time-varying delay, its upper bound and their difference is taken into account. As a result, for two types of time-varying delays, less conservative delay-dependent passivity conditions are obtained in terms of linear matrix inequalities (LMIs), respectively. Finally, a numerical example is given to demonstrate the effectiveness of the proposed techniques. (C) 2010 Elsevier B.V. All rights reserved.
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