Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms

Yanli Huang; Jianming Wang; Erfu Yang

doi:10.23919/IConAC.2019.8895142

Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms

Yanli Huang, Jianming Wang, Erfu Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

In this paper, we deal with the robust passivity problem for coupled reaction-diffusion Cohen-Grossberg neural networks (CRDCGNNs) with spatial diffusion coupling and state coupling. First, we present the network model for CRDCGNNs with state coupling and establish some robust passivity conditions for this kind of CRDCGNNs. Then, the investigation on robust passivity for CRDCGNNs with spatial diffusion coupling is carried out similarly. At last, the feasibility of the obtained theoretical results is demonstrated by one example with simulation results.

Original language	English
Title of host publication	2019 25th International Conference on Automation and Computing (ICAC)
Place of Publication	Piscataway, N.J.
ISBN (Electronic)	978-1-8613-7665-7
DOIs	https://doi.org/10.23919/IConAC.2019.8895142
Publication status	Published - 11 Nov 2019
Event	25th IEEE International Conference on Automation and Computing, ICAC 2019 - Lancaster, United Kingdom Duration: 5 Sept 2019 → 7 Sept 2019

Conference

Conference	25th IEEE International Conference on Automation and Computing, ICAC 2019
Country/Territory	United Kingdom
City	Lancaster
Period	5/09/19 → 7/09/19

Keywords

Cohen-Grossberg neural networks
obust passivity
spatial diffusion coupling
state coupling

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10.23919/IConAC.2019.8895142

Huang-etal-ICAC-2019-Robust-passivity-of-coupled-Cohen-Grossberg-neuralAccepted author manuscript, 681 KB

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abstract = "In this paper, we deal with the robust passivity problem for coupled reaction-diffusion Cohen-Grossberg neural networks (CRDCGNNs) with spatial diffusion coupling and state coupling. First, we present the network model for CRDCGNNs with state coupling and establish some robust passivity conditions for this kind of CRDCGNNs. Then, the investigation on robust passivity for CRDCGNNs with spatial diffusion coupling is carried out similarly. At last, the feasibility of the obtained theoretical results is demonstrated by one example with simulation results.",

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Huang, Y, Wang, J & Yang, E 2019, Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms. in 2019 25th International Conference on Automation and Computing (ICAC)., 8895142, Piscataway, N.J., 25th IEEE International Conference on Automation and Computing, ICAC 2019, Lancaster, United Kingdom, 5/09/19. https://doi.org/10.23919/IConAC.2019.8895142

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AU - Wang, Jianming

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N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2019/11/11

Y1 - 2019/11/11

N2 - In this paper, we deal with the robust passivity problem for coupled reaction-diffusion Cohen-Grossberg neural networks (CRDCGNNs) with spatial diffusion coupling and state coupling. First, we present the network model for CRDCGNNs with state coupling and establish some robust passivity conditions for this kind of CRDCGNNs. Then, the investigation on robust passivity for CRDCGNNs with spatial diffusion coupling is carried out similarly. At last, the feasibility of the obtained theoretical results is demonstrated by one example with simulation results.

AB - In this paper, we deal with the robust passivity problem for coupled reaction-diffusion Cohen-Grossberg neural networks (CRDCGNNs) with spatial diffusion coupling and state coupling. First, we present the network model for CRDCGNNs with state coupling and establish some robust passivity conditions for this kind of CRDCGNNs. Then, the investigation on robust passivity for CRDCGNNs with spatial diffusion coupling is carried out similarly. At last, the feasibility of the obtained theoretical results is demonstrated by one example with simulation results.

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CY - Piscataway, N.J.

T2 - 25th IEEE International Conference on Automation and Computing, ICAC 2019

Y2 - 5 September 2019 through 7 September 2019

ER -

Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms

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