Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays

Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays
Author :
Publisher : Springer Nature
Total Pages : 162
Release :
ISBN-10 : 9783031478352
ISBN-13 : 3031478355
Rating : 4/5 (52 Downloads)

Book Synopsis Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays by : Junyi Wang

Download or read book Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays written by Junyi Wang and published by Springer Nature. This book was released on 2023-11-28 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as follows. Chapter 1 introduces the system description and some background knowledges, and also addresses the motivations of this monograph. In Chapter 2, the stochastic synchronization issue of Markovian coupled neural networks with partially unknown transition rates and random coupling strengths is investigated. In Chapter 3, the local synchronization issue of Markovian neutral complex networks with partially information of transition rates is investigated. The new delay-dependent synchronization criteria in terms of LMIs are derived, which depends on the upper and lower bounds of the delays. In Chapter 4, the local synchronization issue of Markovian nonlinear coupled neural networks with uncertain and partially unknown transition rates is investigated. The less conservative local synchronization criteria containing the bounds of delay and delay derivative are obtained based on the novel augmented Lyapunov-Krasovskii functional and a new integral inequality. In Chapter 5, the sampled-data synchronization issue of delayed complex networks with aperiodic sampling interval is investigated based on enhanced input delay approach, which makes full use of the upper bound of the variable sampling interval and the sawtooth structure information of varying input delay. In Chapter 6, the sampled-data synchronization issue of Markovian coupled neural networks with mode-dependent interval time-varying delays and aperiodic sampling intervals is investigated based on an enhanced input delay approach. Furthermore, the mode-dependent sampled-data controllers are proposed based on the delay dependent synchronization criteria. In Chapter 7, the synchronization issue of inertial neural networks with time-varying delays and generally Markovian jumping is investigated. In Chapter 8, we conclude the monograph by briefly summarizing the main theoretical findings.


Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays Related Books

Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays
Language: en
Pages: 162
Authors: Junyi Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2023-11-28 - Publisher: Springer Nature

DOWNLOAD EBOOK

This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as
Stochastic Differential Equations with Markovian Switching
Language: en
Pages: 430
Authors: Xuerong Mao
Categories: Mathematics
Type: BOOK - Published: 2006 - Publisher: Imperial College Press

DOWNLOAD EBOOK

This textbook provides the first systematic presentation of the theory of stochastic differential equations with Markovian switching. It presents the basic prin
Stability of Time-Delay Systems
Language: en
Pages: 367
Authors: Keqin Gu
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is a self-contained presentation of the background and progress of the study of time-delay systems, a subject with broad applications to a number of a
Recent Advances in Control Problems of Dynamical Systems and Networks
Language: en
Pages: 548
Authors: Ju H. Park
Categories: Technology & Engineering
Type: BOOK - Published: 2020-08-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic cont
Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
Language: en
Pages: 227
Authors: Jin-Liang Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2017-06-07 - Publisher: Springer

DOWNLOAD EBOOK

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents nov