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Passivity of Switched Recurrent Neural Networks With Time-Varying Delays.
- Source :
-
IEEE Transactions on Neural Networks & Learning Systems . Feb2015, Vol. 26 Issue 2, p357-366. 10p. - Publication Year :
- 2015
-
Abstract
- This paper is concerned with the passivity analysis for switched neural networks subject to stochastic disturbances and time-varying delays. First, using the multiple Lyapunov functions method, a state-dependent switching law is designed to present a stochastic passivity condition. Second, a hysteresis switching law involving both the current state and the previous value of the switching signal are presented to avoid chattering resulted from the state-dependent switching. Third, based on the average dwell-time approach, a class of switching signals is determined to guarantee the switched neural network stochastically passive. Finally, three numerical examples are provided to illustrate the characteristics of three proposed switching laws. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 2162237X
- Volume :
- 26
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Neural Networks & Learning Systems
- Publication Type :
- Periodical
- Accession number :
- 100565449
- Full Text :
- https://doi.org/10.1109/TNNLS.2014.2379920