Control Engineering and Intelligent Systems



Group website: http://exit.udg.edu/

The eXiT research group carries out research on the following research lines:

Data driven methods for decision support and monitoring

  • Multivariate statistical process control methods
    • Fault detection and fault diagnosis
    • Sensor reconstruction and soft sensors
    • Process understanding
  • Case-based reasoning for decision support systems
  • Structured data mining
  • Complex event processing
  • Qualitative representation of signals and trends


Distributed scheduling and resource allocation

  • Market-based solutions (auctions)
  • Workflow management and monitoring
  • Service-oriented architectures and event-driven architectures