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Mean Square Exponential Stability of Uncertain Stochastic Hopfield Neural Networks with Interval Time-Varying Delays.
- Source :
- Advanced Intelligent Computing Theories & Applications. With Aspects of Artificial Intelligence; 2007, p110-119, 10p
- Publication Year :
- 2007
-
Abstract
- The problem of mean square exponential stability of uncertain stochastic Hopfield neural networks with interval time-varying delays is investigated in this paper. The delay factor is assumed to be time-varying and belongs to a given interval, which means that the derivative of the delay function can exceed one. The uncertainties considered in this paper are norm-bounded and possibly time-varying. By Lyapunov-Krasovskii functional approach and stochastic analysis approach, a new delay-dependent stability criteria for the exponential stability of stochastic Hopfield neural networks is derived in terms of linear matrix inequalities(LMIs). A simulation example is given to demonstrate the effectiveness of the developed techniques. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540742012
- Database :
- Complementary Index
- Journal :
- Advanced Intelligent Computing Theories & Applications. With Aspects of Artificial Intelligence
- Publication Type :
- Book
- Accession number :
- 33100556
- Full Text :
- https://doi.org/10.1007/978-3-540-74205-0_13