Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/636289
Title: Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With Time-Varying Probabilistic Delay Coupling and Impulsive Delay
Authors: Haibo Bao;Ju H. Park;Jinde Cao
subject: time-varying impulsive delay.|Probabilistic time-varying delay|stochastic memristor-based neural networks|synchronization
Year: 2016
Publisher: IEEE
Abstract: This paper deals with the exponential synchronization of coupled stochastic memristor-based neural networks with probabilistic time-varying delay coupling and time-varying impulsive delay. There is one probabilistic transmittal delay in the delayed coupling that is translated by a Bernoulli stochastic variable satisfying a conditional probability distribution. The disturbance is described by a Wiener process. Based on Lyapunov functions, Halanay inequality, and linear matrix inequalities, sufficient conditions that depend on the probability distribution of the delay coupling and the impulsive delay were obtained. Numerical simulations are used to show the effectiveness of the theoretical results.
URI: http://localhost/handle/Hannan/172625
http://localhost/handle/Hannan/636289
ISSN: 2162-237X
2162-2388
volume: 27
issue: 1
Appears in Collections:2016

Files in This Item:
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Title: Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With Time-Varying Probabilistic Delay Coupling and Impulsive Delay
Authors: Haibo Bao;Ju H. Park;Jinde Cao
subject: time-varying impulsive delay.|Probabilistic time-varying delay|stochastic memristor-based neural networks|synchronization
Year: 2016
Publisher: IEEE
Abstract: This paper deals with the exponential synchronization of coupled stochastic memristor-based neural networks with probabilistic time-varying delay coupling and time-varying impulsive delay. There is one probabilistic transmittal delay in the delayed coupling that is translated by a Bernoulli stochastic variable satisfying a conditional probability distribution. The disturbance is described by a Wiener process. Based on Lyapunov functions, Halanay inequality, and linear matrix inequalities, sufficient conditions that depend on the probability distribution of the delay coupling and the impulsive delay were obtained. Numerical simulations are used to show the effectiveness of the theoretical results.
URI: http://localhost/handle/Hannan/172625
http://localhost/handle/Hannan/636289
ISSN: 2162-237X
2162-2388
volume: 27
issue: 1
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7299299.pdf1.63 MBAdobe PDFThumbnail
Preview File
Title: Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With Time-Varying Probabilistic Delay Coupling and Impulsive Delay
Authors: Haibo Bao;Ju H. Park;Jinde Cao
subject: time-varying impulsive delay.|Probabilistic time-varying delay|stochastic memristor-based neural networks|synchronization
Year: 2016
Publisher: IEEE
Abstract: This paper deals with the exponential synchronization of coupled stochastic memristor-based neural networks with probabilistic time-varying delay coupling and time-varying impulsive delay. There is one probabilistic transmittal delay in the delayed coupling that is translated by a Bernoulli stochastic variable satisfying a conditional probability distribution. The disturbance is described by a Wiener process. Based on Lyapunov functions, Halanay inequality, and linear matrix inequalities, sufficient conditions that depend on the probability distribution of the delay coupling and the impulsive delay were obtained. Numerical simulations are used to show the effectiveness of the theoretical results.
URI: http://localhost/handle/Hannan/172625
http://localhost/handle/Hannan/636289
ISSN: 2162-237X
2162-2388
volume: 27
issue: 1
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7299299.pdf1.63 MBAdobe PDFThumbnail
Preview File