Special Issue on “Analysis and Control of Complex Cyber-Physical Networks”


A large number of coupled systems in nature and society can be modeled by complex cyber-physical networks, whose normal functioning significantly relies on the tight interactions between its physical and cyber components. Many modern critical infrastructures can be appropriately modelled as complex cyber-physical networks. Typical examples of such infrastructures are power grids, the Internet, WWW, and public transportation systems. The ubiquity of such networked systems leads to many important and fascinating scientific problems concerning how network topologies and parameters affect collective dynamics, and how to control them. Analysis and control of complex cyber-physical networks have received a lot of attention recently, from various scientific and engineering communities. Furthermore, revealing the fundamental properties and controlling the collective behaviors of networked systems not only can provide a better understanding of the emergence mechanisms for cooperative behaviors, but also can provide benefits to various applications of cyber-physical networked systems, such as smart grids, Internet of Things and unmanned aircraft systems.


The focus of this special issue is on new approaches to analysis and synthesis of complex cyber-physical networks as well as their potential practical applications. The special issue aims to establish a forum for international researchers from different fields of electrical engineering, bioinformatics, systems and control theory, and applied mathematics, to present and evaluate the most recent developments and new ideas on analysis and synthesis of complex cyber-physical networks, regarding both fundamental theory and practical applications. The topics to be covered include, but are not limited to:

  • Analysis and coordination control of complex cyber-physical networks
  • Bio-inspired control techniques for networked systems
  • Big-data mining and analysis over complex cyber-physical networks
  • Controllability and observability of complex cyber-physical networks
  • Distributed cognitive architectures in robotic networks
  • Distributed control and estimation of multi-agent networks
  • Distributed optimization of multi-agent networks
  • Deep learning and intelligent control of complex cyber-physical networks
  • Distributed machine learning in complex cyber-physical networks
  • Distributed reinforcement learning techniques for networked systems
  • Energy management and distributed intelligent control of smart grids
  • Efficient privacy protection and security of complex cyber-physical networks
  • Finite-time and fixed-time control of complex cyber-physical networks
  • Game analysis and control over complex cyber-physical networks

Guest Editors

Prof. Guanghui Wen

  • Southeast University, China
  • E-mail

Dr. Mahdi Jalili

  • RMIT University, Australia
  • E-mail

Prof. Wei Ren

  • University of California, Riverside, USA
  • E-mail

Guest Editorial Committee

Prof. Yongcan Cao

  • University of Texas at San Antonio, USA
  • E-mail

Prof. Haibo Du

  • Hefei University of Technology, China
  • E-mail

Prof. Guanrong Chen

  • City University of Hong Kong, Hong Kong SAR, China
  • E-mail

Important Dates

Deadline for Submissions  November 30, 2020
Completion of First Review February 28, 2021
Completion of Final Review May 31, 2021
Receipt of Final Manuscript August 31, 2021
Publication January 31, 2022 (Tentatively Vol. 24:1)