Impulsive control of a hysteresis cellular neural network model

G. Agranovich; E. Litsyn; A. Slavova

doi:10.1016/j.nahs.2008.10.006

Impulsive control of a hysteresis cellular neural network model

G. Agranovich, E. Litsyn, A. Slavova

Department of Electrical and Electronics Engineering

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

In this paper receptor-based Cellular Nonlinear Network model with hysteresis is considered. Dynamics and stability of the CNN model are studied from the point of view of local activity theory. Edge of chaos domain of the parameter space is found for the model. Numerical simulations and discussions about the pattern formation in such model are presented. Impulsive feedback control is applied in order to stabilized the system.

Original language	English
Pages (from-to)	65-73
Number of pages	9
Journal	Nonlinear Analysis: Hybrid Systems
Volume	3
Issue number	1
DOIs	https://doi.org/10.1016/j.nahs.2008.10.006
State	Published - Feb 2009

Keywords

Cellular neural networks
Edge of chaos
Hysteresis
Impulsive feedback control

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10.1016/j.nahs.2008.10.006

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abstract = "In this paper receptor-based Cellular Nonlinear Network model with hysteresis is considered. Dynamics and stability of the CNN model are studied from the point of view of local activity theory. Edge of chaos domain of the parameter space is found for the model. Numerical simulations and discussions about the pattern formation in such model are presented. Impulsive feedback control is applied in order to stabilized the system.",

keywords = "Cellular neural networks, Edge of chaos, Hysteresis, Impulsive feedback control",

author = "G. Agranovich and E. Litsyn and A. Slavova",

note = "Funding Information: This paper is partially supported by the bilateral joint research project between Bulgarian Academy of Sciences and Israel Academy of Sciences",

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KW - Hysteresis

KW - Impulsive feedback control

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Impulsive control of a hysteresis cellular neural network model

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Keywords

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