Control Engineering and Intelligent Systems

Description

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