Thorsten Ullrich

Learn More
Artiicial neural networks and fuzzy logic approaches are widely used methods to cope with problems of non-linear modelling and control. These concepts have proved to be powerful tools in serveral elds of application. However, the computational eeort involved is rather high and does often not allow the implementation on low-cost standard-hardware. This paper(More)
Modelling and control of complex nonlinear plants is a challenging area where learning systems, i.e. systems that construct a nonlinear plant model or controller based on measurement data, are a promising approach. However, in real-world applications, the measured samples are corrupted with noise and often the distribution of the samples does not cover all(More)
  • 1