Takagi-Sugeno Methods with Application to Wind Power Systems

Project: Research

Project participants

  • Mercorelli, Paolo (Project manager, academic)
  • Schulte, Horst (Project manager, academic)
  • Pöschke, Florian (Project staff)

Description

In cooperation with Hochschule für Technik und Wirtschaft (University of Applied Science), Berlin.
StatusActive
Period01.01.17 → …

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Publications

  1. Simulation based optimization of lot sizes for opposing logistic objectives
  2. Distinguishing state variability from trait change in longitudinal data
  3. A PD regulator to minimize noise effect using a minimal variance method for soft landing control of an electromagnetic valve actuator
  4. Mapping the intersection of planetary boundaries and environmentally extended input-output analysis: A systematic literature review
  5. Biodiversity-multifunctionality relationships depend on identity and number of measured functions
  6. Methodological support for the selection of simplified equations of state for modeling technical fluids
  7. A data-driven methodological routine to identify key indicators for social-ecological system archetype mapping
  8. Integrating Common Ground and Informativeness in Pragmatic Word Learning
  9. Modelling biodegradability based on OECD 301D data for the design of mineralising ionic liquids
  10. Multi-agent systems' asset for smart grid applications
  11. Finite element based determination and optimization of seam weld positions in porthole die extrusion of double hollow profile with asymmetric cross section
  12. Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse
  13. "The skin and fur on your shoulders"
  14. The EU at a crossroads. Negotiations about the multiannual financial framework 2021-2027
  15. Personality traits moderate the relationships between psychological needs and enjoyment of physical activity
  16. Microstructural investigations of the Mg-Sn and Mg-Sn-Al alloy systems
  17. Digital Religious Communication and the Facilitation of Social Resilience
  18. Blended learning