Synchronization analysis of four symbolic complex dynamical systems for future biology research
type: Item
instance of: scholarly article
title: Synchronization analysis of four symbolic complex dynamical systems for future biology research
zbMATH Open document ID: 1299.37068
author: Yagang Zhang
author: Zheng Zhao
author: Yi Sun
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: The synchronization analysis of four symbolic complex dynamical systems will be discussed carefully in this paper. Grey system theory is mainly being used to study data sequences that are generated by 4-letter chaotic dynamical system, and the usual prediction accuracy has exceeded 90\%. In this place we have found a generating rule that may at least realize chaotic synchronization in short and medium terms. Considering the current study of DNA base sequences A-G-C-T and the symbolic characteristic of four symbolic dynamical systems, which are formally in good corresponding relation. In this paper we have offered an effective research means to approach problems of this kind.
Mathematics Subject Classification ID: 37N25
Mathematics Subject Classification ID: 92D99
Mathematics Subject Classification ID: 37M05
zbMATH DE Number: 6372588
MaRDI profile type: Publication
Recommended article: Synchronization dynamics in a ring of four mutually coupled biological systems
Recommended article: Q3017187
Recommended article: Q5326829
Recommended article: Synchronization analysis for a class of genetic oscillator networks
Recommended article: Compound synchronization of four chaotic complex systems
Recommended article: Synchronization of Interconnected Systems With Applications to Biochemical Networks: An Input-Output Approach
Recommended article: Symbolic dynamics and complexity in a physiological time series
Recommended article: Detecting synchronisation of biological oscillators by model checking
Recommended article: Q3596181
Recommended article: Symmetry-Independent Stability Analysis of Synchronization Patterns
description: scientific article; zbMATH DE number 6372588