Networked Dynamical Systems: Analysis and Synthesis

Jinde Cao,Guanghui Wen,Zhiqiang Zuo,Wenwu Yu,Wei Lin,Guoqiang Hu

doi:10.1155/2014/806807

Abstract

1 Department of Mathematics, Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing 210096, China 2Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia 3 School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 639798 4 School of Mathematical Sciences, Fudan University, Shanghai 200433, China 5 School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3001, Australia 6 School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China

Highlights

(1) Modeling and Control of Complex Networks
It is well known that most of the real-world large-scale systems can be modeled as networked dynamical systems where the nodes indicate the individuals while the links mimic the interaction among them
In the past few years, collective behaviors of networked dynamical systems have become the subject of hot research in control theory and engineering

Summary

Introduction

(1) Modeling and Control of Complex Networks. “Noise and synchronization analysis of the cold-receptor neuronal network model” by Y. Editorial Networked Dynamical Systems: Analysis and Synthesis Jinde Cao,1,2 Guoqiang Hu,3 Wei Lin,4 Guanghui Wen,1 Wenwu Yu,1,5 and Zhiqiang Zuo6 It is well known that most of the real-world large-scale systems can be modeled as networked dynamical systems where the nodes indicate the individuals while the links mimic the interaction among them. In the past few years, collective behaviors of networked dynamical systems have become the subject of hot research in control theory and engineering.

Results

Conclusion