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A new fixed-time stability theorem and its application to the synchronization control of memristive neural networks.
- Source :
-
Neurocomputing . Jul2019, Vol. 349, p290-300. 11p. - Publication Year :
- 2019
-
Abstract
- In this paper, we propose a new fixed-time stability theorem. Numerical simulations show that our upper bound estimate for the settling time is much smaller than those in the existing fixed-time stability theorems. Based on the new fixed-time stability theorem, we investigate the fixed-time synchronization of memristive neural networks (MNNs) by adopting a delay-dependent feedback controller. Numerical simulations are provided to demonstrate the correctness of our theoretical results and the superiority of the new fixed-time stability theorem. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ARTIFICIAL neural networks
*SYNCHRONIZATION
*COMPUTER simulation
*CARDIAC pacing
Subjects
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 349
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 136389647
- Full Text :
- https://doi.org/10.1016/j.neucom.2019.03.040