2018
DOI: 10.1002/asjc.1918
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Discrete Fractional‐Order BAM Neural Networks with Leakage Delay: Existence and Stability Results

Abstract: In this paper, a discrete model of fractional-order bidirectional associative memory (BAM) neural networks with leakage delay is considered. Sufficient conditions are established for the existence, uniqueness and uniform stability of nontrivial solutions of the addressed model. Our approach is based on the implementation of the newly defined discrete fractional calculus, mathematical inequalities and fixed point theorems. We provide an example that supports the application of the theoretical results.

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Cited by 46 publications
(24 citation statements)
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“…The fractional operators in (4) and (5) represent Caputo and Caputo-Hadamard fractional derivative, respectively.…”
Section: Lemma 23 ([41])mentioning
confidence: 99%
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“…The fractional operators in (4) and (5) represent Caputo and Caputo-Hadamard fractional derivative, respectively.…”
Section: Lemma 23 ([41])mentioning
confidence: 99%
“…and 3.00445 × 10 -7 1.25591 × 10 -7 1.99284 × 10 -8 0.3 1.09542 × 10 - 5 9.66989 × 10 -6 1.55214 × 10 -6 8.73622 × 10 -7 0.5 5.35004 × 10 - 5 3.25183 × 10 -5 1.55037 × 10 -5 6.56296 × 10 -6 0.7 2.80508 × 10 - 4 1.31354 × 10 -4 5.49232 × 10 -5 2.15731 × 10 -5 0.9 6.65574 × 10 - 4 3.15256 × 10 -4 1.11750 × 10 -4 2.89674 × 10 -5…”
Section: Nonlinear Problemsmentioning
confidence: 99%
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“…Fractional differential systems have described many practical dynamical phenomena more efficiently than the corresponding integer-order systems; hence they have attracted the attention of many researchers in such fields (see [1][2][3][4][5][6][7][8][9][10] and references cited therein).…”
Section: Introductionmentioning
confidence: 99%
“…Fractional differential systems have attracted the attention of many researchers in many applicable disciplines since the fractional derivatives are considered more appropriate than the corresponding classical integer-ordered derivatives (see previous studies [1][2][3][4][5][6][7] and references therein).…”
Section: Introductionmentioning
confidence: 99%