I.d NES: Networks of systems

Head of the group
Name: Michael Šebek
Phone: +(420) 224 357 201
Email: michael.sebek(at)ciirc.cvut.cz

Network systems are distributed structures and formations of locally interconnected or controlled agents whose dynamics and objectives have a neighborhood structure that can be described by a graph. Although control and decision systems have never been isolated, their interconnection and integration with other systems, with real-time platforms and humans as users and in other roles, comes nowadays into focus.

Application areas are many, spanning engineered systems, social science, economics, and biological systems. Examples of potential application domains include:

  • Networked control systems, where the controlled system, actuators, and sensors are not necessarily co-located but connected over a communication network with its limited band-width, delays, and losses.
  • Communication networks, both wireline and wireless, have to be modeled, controlled, optimized, priced, simulated, and secured.
  • Sensor networks, having all characteristics of communication networks but with the addition of sensors which interact with the physical world.
  • Cyber-physical systemsthat encompass systems with both physical and cyber components.
  • Networks of autonomous agentsinclude networks of robots and UAVs giving rise to problems such as swarming, consensus, cooperative control, motion planning, formation control, deployment, robustness, and bio-inspired control.
  • Electric power networksincluding traditional electric power networks but also new constructs such as smart-grids or micro-grids, fleets of plug-in hybrid vehicles interacting with the grid, and electricity demand response by cooperation among devices within a building or home.
  • Transportation networks where sensor networks, crowd-sourcing, smart parking, smart traffic lights, vehicular communication and even automated highway systems networks are now emerging and promising significant improvements.
  • Biological networks, including signal transduction networks, gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, and ecological networks which model consumer-resource interactions between groups of organisms.
  • Social and Economic networks,which model interactions among humans for social or economic reasons such as social networks and alike.

Responsible: M. Šebek