Time-Extended Fuzzy Logic and Fuzzy Control

Fig. 15: Section of the fuzzy rule base for automatic lighting control of buildings
Fig. 15: Section of the fuzzy rule base for automatic lighting control of buildings
Fig. 16: Building automation controlled and supervised by time-enhanced fuzzy control
Fig. 16: Building automation controlled and supervised by time-enhanced fuzzy control

Project definition

Fuzzy logic makes it possible to use nearly natural language for simple descriptions of system behaviour (Fig. 15). In this manner, such systems remain easy to understand and maintain and explicit descriptions of temporal behaviour are feasible. System states and sensor data from the past, present and future can be used in the natural language description of system behaviour.

Areas of expertise

  • Multidimensional fuzzy logic, with emphasis on time as an additional dimension
  • Fuzzy logic for control and monitoring of processes
  • Fuzzy logic for signal processing
  • Automatic code generation for fast fuzzy data processing

Applications

  • Monitoring and control of building automation systems (Fig. 16)
  • Efficient, real-time capable fuzzy video editing
  • Fuzzy control- and monitoring in embedded systems
  • Fuzzy prediction of system behaviour in non-chaotic systems

Projects

Wanted

Student Jobs / Open Positions