Stochastic Memristive Quaternion-Valued Neural Networks with Time Delays: An Analysis on Mean Square Exponential Input-to-State Stability

Stochastic Memristive Quaternion-Valued Neural Networks with Time Delays: An Analysis on Mean Square Exponential Input-to-State Stability

In this paper, we study the mean-square exponential input-to-state stability (exp-ISS) problem for a new class of neural network (NN) models, i.e., continuous-time stochastic memristive quaternion-valued neural networks (SMQVNNs) with time delays. Firstly, in order to overcome the difficulties posed...

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Bibliographic Details
Main Authors: Usa Humphries, Grienggrai Rajchakit, Pramet Kaewmesri, Pharunyou Chanthorn, Ramalingam Sriraman, Rajendran Samidurai, Chee Peng Lim
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Mathematics
Subjects:
stochastic memristive quaternion-valued neural networks
exponential input-to-state stability
Lyapunov fractional
Online Access:https://www.mdpi.com/2227-7390/8/5/815

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https://www.mdpi.com/2227-7390/8/5/815

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