Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
404087 | Neural Networks | 2014 | 8 Pages |
Abstract
Memristive neural networks are studied across many fields of science. To uncover their structural design principles, the paper introduces a general class of memristive neural networks with time delays. Passivity analysis is conducted by constructing suitable Lyapunov functional. The analysis in the paper employs the results from the theories of nonsmooth analysis and linear matrix inequalities. A numerical example is provided to illustrate the effectiveness and less conservatism of the proposed results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ailong Wu, Zhigang Zeng,