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Finite-time stabilization of memristor-based inertial neural networks with discontinuous activations and distributed delays.
- Source :
-
Journal of the Franklin Institute . Apr2019, Vol. 356 Issue 6, p3628-3643. 16p. - Publication Year :
- 2019
-
Abstract
- Abstract In this paper, the finite-time stabilization problem for memristor-based inertial neural networks (MINNs) with discontinuous activations (DAs) and distributed delays is investigated. To deal with the discontinuous property of the MINNs, the nonsmooth analysis theory is invoked. Furthermore, to simplify the MINNs with second-order state derivative, an order-reduced method is adopted. Then the second-order MINNs is transformed into a simpler first-order differential system. Moreover, the verifiable algebraic criteria are derived for the finite-time stabilization of MINNs with DAs and distributed delays under the designed control approach. Finally, the effectiveness of the obtained results are illustrated via numerical simulations. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ARTIFICIAL neural networks
*NONSMOOTH optimization
*COMPUTER simulation
Subjects
Details
- Language :
- English
- ISSN :
- 00160032
- Volume :
- 356
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of the Franklin Institute
- Publication Type :
- Periodical
- Accession number :
- 135711272
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2018.11.040