Qualitative Analysis and Control of Complex Neural Networks with Delays [recurso electrónico] / by Zhanshan Wang, Zhenwei Liu, Chengde Zheng.

Por: Wang, Zhanshan [author.]Colaborador(es): Liu, Zhenwei [author.] | Zheng, Chengde [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Systems, Decision and Control ; 34Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Descripción: XIV, 388 p. 32 illus., 7 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783662474846Tema(s): Engineering | Complexity, Computational | Vibration | Dynamical systems | Dynamics | Control engineering | Power electronics | Engineering | Vibration, Dynamical Systems, Control | Complexity | Control | Power Electronics, Electrical Machines and NetworksFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 620 Clasificación LoC:TA355TA352-356Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction to Neural Networks.-Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- StabilityCriteria for RNNs Based on Secondary Delay Partitioning.-LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.
En: Springer eBooksResumen: This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos 1 No para préstamo

Introduction to Neural Networks.-Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- StabilityCriteria for RNNs Based on Secondary Delay Partitioning.-LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.

This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.

Con tecnología Koha