Mittag–Leffler synchronization for impulsive fractional-order bidirectional associative memory neural networks via optimal linear feedback control

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Autore principale: Jiazhe Lin
Natura: Artículo científico
Lingua:en
Pubblicazione: Vilniaus Universitetas 2021
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author Jiazhe Lin
author_facet Jiazhe Lin
contents Mittag–Leffler synchronization for impulsive fractional-order bidirectional associative memory neural networks via optimal linear feedback control Jiazhe Lin Rui Xu Liangchen Li Matemáticas Mittag optimal control impulsive effect BAM neural network actuator saturation In this paper, we are concerned with the synchronization scheme for fractional-order bidirectional associative memory (BAM) neural networks, where both synaptic transmission delay and impulsive effect are considered. By constructing Lyapunov functional, sufficient conditions are established to ensure the Mittag–Leffler synchronization. Based on Pontryagin’s maximum principle with delay, time-dependent control gains are obtained, which minimize the accumulative errors within the limitation of actuator saturation during the Mittag–Leffler synchronization. Numerical simulations are carried out to illustrate the feasibility and effectiveness of theoretical results with the help of the modified predictor-corrector algorithm and the forward-backward sweep method. 2021 artículo científico 1392-5113 https://www.redalyc.org/articulo.oa?id=694172869002 https://www.redalyc.org/journal/6941/694172869002/ https://www.redalyc.org/journal/6941/694172869002/html/ https://www.redalyc.org/journal/6941/694172869002/694172869002.epub https://www.redalyc.org/journal/6941/694172869002/movil https://doi.org/10.15388/namc.2021.26.21203 en http://www.redalyc.org/revista.oa?id=6941 Nonlinear Analysis: Modelling and Control application/pdf Vilniaus Universitetas Nonlinear Analysis: Modelling and Control (Lituania) Num.2 Vol.26
format Artículo científico
id redalyc_694172869002
institution Redalyc
language en
publishDate 2021
publisher Vilniaus Universitetas
spellingShingle Mittag–Leffler synchronization for impulsive fractional-order bidirectional associative memory neural networks via optimal linear feedback control
Jiazhe Lin
Matemáticas
Mittag
optimal control
impulsive effect
BAM neural network
actuator saturation
Mittag–Leffler synchronization for impulsive fractional-order bidirectional associative memory neural networks via optimal linear feedback control Jiazhe Lin Rui Xu Liangchen Li Matemáticas Mittag optimal control impulsive effect BAM neural network actuator saturation In this paper, we are concerned with the synchronization scheme for fractional-order bidirectional associative memory (BAM) neural networks, where both synaptic transmission delay and impulsive effect are considered. By constructing Lyapunov functional, sufficient conditions are established to ensure the Mittag–Leffler synchronization. Based on Pontryagin’s maximum principle with delay, time-dependent control gains are obtained, which minimize the accumulative errors within the limitation of actuator saturation during the Mittag–Leffler synchronization. Numerical simulations are carried out to illustrate the feasibility and effectiveness of theoretical results with the help of the modified predictor-corrector algorithm and the forward-backward sweep method. 2021 artículo científico 1392-5113 https://www.redalyc.org/articulo.oa?id=694172869002 https://www.redalyc.org/journal/6941/694172869002/ https://www.redalyc.org/journal/6941/694172869002/html/ https://www.redalyc.org/journal/6941/694172869002/694172869002.epub https://www.redalyc.org/journal/6941/694172869002/movil https://doi.org/10.15388/namc.2021.26.21203 en http://www.redalyc.org/revista.oa?id=6941 Nonlinear Analysis: Modelling and Control application/pdf Vilniaus Universitetas Nonlinear Analysis: Modelling and Control (Lituania) Num.2 Vol.26
title Mittag–Leffler synchronization for impulsive fractional-order bidirectional associative memory neural networks via optimal linear feedback control
topic Matemáticas
Mittag
optimal control
impulsive effect
BAM neural network
actuator saturation
url https://www.redalyc.org/articulo.oa?id=694172869002
https://www.redalyc.org/journal/6941/694172869002/
https://www.redalyc.org/journal/6941/694172869002/html/
https://www.redalyc.org/journal/6941/694172869002/694172869002.epub
https://www.redalyc.org/journal/6941/694172869002/movil
https://doi.org/10.15388/namc.2021.26.21203