๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Complex-Valued Neural Networks Systems with Time Delay. Stability Analysis and (Anti-)Synchronization Control

โœ Scribed by Ziye Zhang, Zhen Wang, Jian Chen, Chong Lin


Publisher
Springer
Year
2022
Tongue
English
Leaves
236
Series
Intelligent Control and Learning Systems, Volume 4
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Table of Contents


Preface
Contents
Symbols
1 Introduction
1.1 History of Neural Networks
1.2 History of Complex-Valued Neural Networks
1.3 Recent Progress of Complex-Valued Neural Networks
1.3.1 Survey of Dynamics of CVNNs
1.3.2 Survey of Dynamics of CVBAMNNs
1.3.3 Survey of Dynamics of CVINNs
1.4 This Book
References
2 Stability Criterion for CVNNs with Constant Delay
2.1 Introduction
2.2 Problem Formulation
2.3 Main Result
2.4 Illustrative Examples
2.5 Conclusion
References
3 Further Stability Analysis for CVNNs with Constant Delay
3.1 Introduction
3.2 Preliminaries
3.3 Further Stability Analysis Based on Separable Method
3.4 Stability Analysis Based on Nonseparable Method
3.5 Illustrative Examples
3.6 Conclusion and Notes
References
4 Hopf Bifurcation Analysis for CVNNs with Discrete and Distributed Delays
4.1 Introduction
4.2 Problem Formulation
4.3 Hopf Bifurcation Result
4.4 Direction of the Hopf Bifurcation
4.5 Illustrative Example
4.6 Conclusion
References
5 Finite-Time Stability Analysis for CVBAMNNs with Constant Delay
5.1 Introduction
5.2 Problem Formulation and Preliminaries
5.3 Sufficient Criterion for the Existence and Uniqueness
5.4 Finite-Time Stability Criterion
5.5 Illustrative Examples
5.6 Conclusion
References
6 Lagrange Exponential Stability for CVBAMNNs with Time-Varying Delays
6.1 Introduction
6.2 Problem Formulation and Preliminaries
6.3 Stability Criteria Based on Algebraic Structure
6.3.1 Stability Criterion Dependent on Separable Method
6.3.2 Stability Criterion Dependent on Nonseparable Method
6.4 Stability Criterion in Terms of LMI
6.5 Illustrative Examples
6.6 Conclusion
References
7 Anti-synchronization Control for CVBAMNNs with Time-Varying Delays
7.1 Introduction
7.2 Problem Formulation and Preliminaries
7.3 Anti-Synchronization Control Criterion
7.4 Illustrative Example
7.5 Conclusion
References
8 Anti-synchronization Control for CVNNs with Mixed Delays
8.1 Introduction
8.2 Problem Formulation and Preliminaries
8.3 Anti-synchronization Criterion Based on Separable Method
8.4 Anti-synchronization Criterion Based on Nonseparable Method
8.5 Illustrative Examples
8.6 Conclusion
References
9 (Anti)-Synchronization for CVINNs with Time-Varying Delays
9.1 Introduction
9.2 Problem Formulation and Preliminaries
9.3 Synchronization Control Criterion
9.4 Anti-Synchronization Control Criterion
9.5 Illustrative Examples
9.6 Conclusion
References
10 Fixed-Time Synchronization for CVBAMNNs with Time Delays
10.1 Introduction
10.2 Problem Formulation and Preliminaries
10.3 Fixed-Time Synchronization Criterion
10.4 Illustrative Examples
10.5 Conclusion
References
11 Fixed-Time Pinning Synchronization for CVINNs with Time-Varying Delays
11.1 Introduction
11.2 Problem Formulation and Preliminaries
11.3 Main Results
11.3.1 Fixed-Time Synchronization Criterion
11.3.2 Fixed-Time Adaptive Synchronization Criterion
11.4 Illustrative Example
11.5 Conclusion
References
Index


๐Ÿ“œ SIMILAR VOLUMES


Synchronization Control of Markovian Com
โœ Junyi Wang, Jun Fu ๐Ÿ“‚ Library ๐Ÿ“… 2023 ๐Ÿ› Springer ๐ŸŒ English

<p><span>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 mo

Qualitative Analysis and Control of Comp
โœ Zhanshan Wang, Zhenwei Liu, Chengde Zheng (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>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 o

Stability and Synchronization Control of
โœ Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><p>This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization co

Dynamic Systems with Time Delays: Stabil
โœ Ju H. Park, Tae H. Lee, Yajuan Liu, Jun Chen ๐Ÿ“‚ Library ๐Ÿ“… 2019 ๐Ÿ› Springer Singapore ๐ŸŒ English

<p><br><p>This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic systems with time delays. First, it provides the new introduction of integral and summation inequalities for stability analysis of nominal time-delay syste

Stability Analysis and Robust Control of
โœ Min Wu, Yong He, Jin-Hua She ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer ๐ŸŒ English

"Stability Analysis and Robust Control of Time-Delay Systems" focuses on essential aspects of this field, including the stability analysis, stabilization, control design, and filtering of various time-delay systems. Primarily based on the most recent research, this monograph presents all the above a

Stability Analysis and Robust Control of
โœ Min Wu, Yong He, Jin-Hua She ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐ŸŒ English

"Stability Analysis and Robust Control of Time-Delay Systems" focuses on essential aspects of this field, including the stability analysis, stabilization, control design, and filtering of various time-delay systems. Primarily based on the most recent research, this monograph presents all the above a