Uniform Stability Analysis of Fractional-Order BAM Neural Networks with Delays in the Leakage Terms

Uniform Stability Analysis of Fractional-Order BAM Neural Networks with Delays in the Leakage Terms. Yang, X., Song, Q., Liu, Y., & Zhao, Z. Abstract and Applied Analysis, 2014:1–16, 2014. 26 citations (Semantic Scholar/DOI) [2023-04-06]

Paper doi abstract bibtex

A class of fractional-order BAM neural networks with delays in the leakage terms is considered. By using inequality technique and analysis method, several delay-dependent sufficient conditions are established to ensure the uniform stability of such networks. Moreover, the sufficient conditions guaranteeing the existence, uniqueness, and stability of the equilibrium point are also obtained. In addition, three simulation examples are given to demonstrate the effectiveness of the obtained results.

@article{yang_uniform_2014,
	title = {Uniform {Stability} {Analysis} of {Fractional}-{Order} {BAM} {Neural} {Networks} with {Delays} in the {Leakage} {Terms}},
	volume = {2014},
	issn = {1085-3375, 1687-0409},
	url = {http://www.hindawi.com/journals/aaa/2014/261930/},
	doi = {10.1155/2014/261930},
	abstract = {A class of fractional-order BAM neural networks with delays in the leakage terms is considered. By using inequality technique and analysis method, several delay-dependent sufficient conditions are established to ensure the uniform stability of such networks. Moreover, the sufficient conditions guaranteeing the existence, uniqueness, and stability of the equilibrium point are also obtained. In addition, three simulation examples are given to demonstrate the effectiveness of the obtained results.},
	language = {en},
	urldate = {2023-03-31},
	journal = {Abstract and Applied Analysis},
	author = {Yang, Xujun and Song, Qiankun and Liu, Yurong and Zhao, Zhenjiang},
	year = {2014},
	note = {26 citations (Semantic Scholar/DOI) [2023-04-06]},
	keywords = {/unread},
	pages = {1--16},
}

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