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State bounding for fuzzy memristive neural networks with bounded input disturbances
Yu Gao1, Song Zhu1, Chunyu Yang2
1School of Mathematics, China University of Mining and Technology, Xuzhou, 221116, China.
Abstract:
This paper investigates the state bounding problem of fuzzy memristive neural networks (FMNNs) with bounded input disturbances. By using the characters of Metzler, Hurwitz and nonnegative matrices, this paper obtains the exact delay-independent and delay-dependent boundary ranges of the solution, which have less conservatism than the results in existing literatures. The validity of the results is verified by two numerical examples.
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