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
