Autor: |
Junzhou Dai, Lianglin Xiong, Haiyang Zhang, Weiguo Rui |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Fractal and Fractional, Vol 7, Iss 12, p 876 (2023) |
Druh dokumentu: |
article |
ISSN: |
2504-3110 |
DOI: |
10.3390/fractalfract7120876 |
Popis: |
This paper studies the asymptotic stability of fractional-order neural networks (FONNs) with time delay utilizing a sampled-data controller. Firstly, a novel class of Lyapunov–Krasovskii functions (LKFs) is established, in which time delay and fractional-order information are fully taken into account. Secondly, by combining with the fractional-order Leibniz–Newton formula, LKFs, and other analysis techniques, some less conservative stability criteria that depend on time delay and fractional-order information are given in terms of linear matrix inequalities (LMIs). In the meantime, the sampled-data controller gain is developed under a larger sampling interval. Last, the proposed criteria are shown to be valid and less conservative than the existing ones using three numerical examples. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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