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Non-fragile synchronisation of mixed delayed neural networks with randomly occurring controller gain fluctuations.
- Source :
-
International Journal of Systems Science . Dec2018, Vol. 49 Issue 16, p3354-3364. 11p. - Publication Year :
- 2018
-
Abstract
- This study is concerned with the problem of non fragile synchronisation of mixed delayed neural networks with randomly occurring controller gain fluctuations. By using a novel mathematical approach and considering the neuron activation functions, improved delay-dependent stability results are formulated in terms of linear matrix inequalities (LMIs). An augmented new Lyapunov-Krasovskii functional (LKF) that contains double and triple integral terms is constructed to ensure the asymptotic stability of the error system which guarantees the master system synchronise with the slave system. Finally, numerical examples are provided to show the effectiveness of the proposed theoretical results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207721
- Volume :
- 49
- Issue :
- 16
- Database :
- Academic Search Index
- Journal :
- International Journal of Systems Science
- Publication Type :
- Academic Journal
- Accession number :
- 133485392
- Full Text :
- https://doi.org/10.1080/00207721.2018.1540730