Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
Published on 7. June 2017
XIII, 220 pages
978-981-10-4907-1 (ISBN)
Description
This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIII, 220 p. 43 illus., 41 illus. in color.
File size
5,53 MB
ISBN-13
978-981-10-4907-1 (9789811049071)
DOI
10.1007/978-981-10-4907-1
Schweitzer Classification
Other editions
Additional editions
Jin-Liang Wang | Huai-Ning Wu | Tingwen Huang
Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
Book
06/2017
Springer
€149.79
Shipment within 15-20 days
Content
Introduction.- Pinning control strategies for synchronization of Coupled Reaction-Diffusion Neural Networks.- Pinning control for synchronization of Coupled Reaction-Diffusion Neural Networks with directed topologies.- Impulsive control for the synchronization of Coupled Reaction-Diffusion Neural Networks.- Novel adaptive strategies for synchronization of Coupled Reaction-Diffusion Neural Networks.- Synchronization and adaptive control of Coupled Reaction-Diffusion Neural Networks with hybrid coupling.- Passivity-based synchronization of Coupled Reaction-Diffusion Neural Networks with time-varying delay.- Passivity and synchronization of Coupled Reaction-Diffusion Neural Networks with adaptive coupling.- Passivity analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet boundary conditions.- Passivity of directed and undirected Coupled Reaction-Diffusion Neural Networks with adaptive coupling weights.
