Journal
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Volume 7, Issue 1, Pages 157-169Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-015-0423-9
Keywords
Memristor; Synchronization; Reaction-diffusion; Markovian jump; Sampled data
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Funding
- Scientific and Technological Research Program of Chongqing Municipal Education Commission [KJ1501002]
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This paper is concerned with the sampled-data synchronization issues for delayed memristive neural networks with Markovian jumping and reaction-diffusion terms. In the frame work of inequality techniques and a useful Lyapunov functional, some new testable algebraic criteria are obtained to ensure the stability of the error system, and thus, the master system can synchronize with the slave system. Finally, an illustrative example is exploited to demonstrate the performance and effectiveness of the developed approach.
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