Networked Systems are complex dynamical systems composed of a (large) number of individual (sub)systems interacting physically or through digital communication networks. These large-scale cyper-physical systems arise as natural models in many areas of engineering and sciences, such as sensor networks, autonomous and unmanned vehicles, power networks, biological networks, social networks, large-scale processing and manufacturing systems, and animal cooperative aggregation. The technical committee  focuses on mathematical methods proposed for the analysis and design of networked systems and their applications.

Topics include:

  • Multi-agent systems
  • Control under communication constraints
  • Consensus and gossip algorithms
  • Cooperative control/estimation/learning
  • Distributed optimization and MPC
  • Cyber security in networked control systems
  • Event-triggered and self-triggered control
  • Wireless sensing and control systems
  • Graph-based methods for networked systems
  • Cooperation in the presence of adversaries
  • Network games
  • Resilient networked control systems
  • Distributed learning, federated learning and reinforcement learning
  • Applications in engineering, computing, and social sciences