That potential has been enabled by a host of new technologies, including the IoT, but also sensing and robotic technologies, and promises to deliver smarter engineered systems for application that include autonomous vehicles, smart power grids, renewable energy, intelligent manufacturing plants, adaptive supply chains, medical robotic devices, urban traffic control and smart buildings.

• Workshop topics include, but are not limited to:
  Inter-disciplinary approaches for building CPS

• Runtime models for engineering CPS (e.g., for monitoring and adaptation)

• Multi-paradigm modeling in CPS (e.g., task models, functional models, dependability models, performance models, big data models, simulation models)

• Feedback control for engineering CPS

• Self-adaptation in CPS

• Adaptive monitoring and sensing for CPS

• Distributed and hierarchical algorithms for control

• Smart networking and networked control

• Timing aspects and timing analysis

• Dynamic context management for CPS environments

• Uncertainty management in CPS environments

• Integrating the human in the loop in CPS

• Assurances for CPS, Runtime validation and verification (V&V)

• Security and verification models for CPS