1. Invited Session Title: Distributed Control and Optimization of Networking Systems
Distributed control and optimization of networking systems (including multi-agent systems and complex networks) has received much attention from different scientific communities in the last ten years. A critical question on networking systems is how the collective behaviors can be emerged as a result of local interaction and how some global optimization problem can be solved by performing distributed optimization solvers. Understanding the fundamental mechanism responsible for the emergence of collective behaviors and regulating these collective behaviors have important impacts on infrastructure networks such as the Internet and power systems.
The main focus of this invited session will be on the new approaches for distributed control and optimization of networking systems as well as their potential applications in networked engineering systems. Suitable topics include, but are not limited to, the following:
2. Invited Session Title: Network-based method and applications
Many real-world large-scale systems can be modeled as distributed intelligent systems, where examples include distributed sensor systems, a team of robots, complex social systems, and so on. Recently, analysis and synthesis of distributed intelligent systems have found extensive applications in various domains including social computing, information diffusion, community detection, formation control, spacecraft control, distributed sensor networks, and smart grids. Since each individual agent (individual) in the distributed intelligent systems has limited computational and sensing abilities, distributed control and estimation design have more significant potential advantages than centralized ones in the context of distributed intelligent systems. Furthermore, it has been shown that the abundance of embedded computational and sensing resources in distributed intelligent systems enables enhanced operational effectiveness through cooperative teamwork in real applications.
The main focus of this invited session will be on new and existing distributed analysis and synthesis approaches in distributed intelligent systems, which will certainly become an international forum for researchers in all branches of applied mathematics, social science, control engineering, as well as computer science to present, share, and summarize the most recent developments and ideas on related topics. Topics of the session include but are not limited to, the following:
3. Invited Session Title: Complex Cyber-Physical Networks: Analysis and Synthesis
Complex cyber-physical network refers to a new generation of complex networks whose normal functioning significantly relies on 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 electrical power grids, WWW, public transportation systems, state financial networks, and the Internet. These critical facilities play important roles in ensuring the stability of society as well as the development of economy. This invited session is focused on analysis and synthesis of complex cyber-physical networks. Topics of the session include but are not limited to, the following:
4. Invited Session Title: Advances in Analysis and Control of Multi-agent Systems
A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Due to the rapid development of computing, communication and sensing technology, these kinds of engineering systems become more and more ubiquitous in real life. Their applications can be found in areas such as mobile sensor networks, autonomous vehicle formations, intelligent transportation systems, smart grids and so on. The large scale of the multi-agent system generally prevents the adoption of a centralized control strategy. As an alternative control approach, distributed control is more appealing as it only requires each agent interacting with limited number of neighboring agents. The main difficulties will be achieving global coordination tasks in the face of various agent dynamics constraints and communication limitations.
5. Invited Session Title: Computational Network Science in Big Data Era
Nowadays, more and more data are collected to better understand many complex systems, such as social and biological systems. For example, many online communities, such as open-source software projects, electronic commerce, Q&A website, Wikipedia etc, record various electronic traces of the different kinds of human activities which are an empirical goldmine that can enable the holistic study and understanding of these social systems. In biology, high-dimensional gene data can be used to establish gene networks, which may help to discover cancer related genes and further design new targeting drugs.